The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index; 8 of the 34 sources its claims cite were checked for support.
Incidental Language Learning: Listening (and Learning) Out of the Corner of Your Ear
Abstract
Two experiments investigated the performance of first-grade children and adults on an incidental language-learning task. Learning entailed word segmentation from continuous speech, an initial and crucial component of language acquisition. Subjects were briefly exposed to an unsegmented artificial language, presented auditorily, in which the only cues to word boundaries were the transitional probabilities between syllables. Subjects were not told that they were listening to a language, or even to listen at all; rather, they were engaged in a cover task of creating computer illustrations. Both adults and children learned the words of the language. Moreover, the children performed as well as the adults. These data suggest that a statistical learning mechanism (transitional probability computation) is able to operate incidentally and, surprisingly, as well in children as in adults.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
Two experiments showed that adults and 6- to 7-year-old children could learn words from a continuous artificial speech stream incidentally, while engaged in an unrelated drawing task. Children performed as well as adults, suggesting statistical word segmentation can operate without directed attention and may be age-invariant.
Key findings
- In Experiment 1, after one 21-min exposure, adults scored 21.1/36 (58.6%) and children scored 21.3/36 (59.2%), both significantly above chance (adults: t(11) = 2.38, p < .05; children: t(12) = 3.67, p < .01), with no significant adult-child difference, t(23) > 1, n.s.
- In Experiment 2, after doubled exposure across two sessions, adults scored 26.3/36 (73.1%) and children scored 24.6/36 (68.3%), both significantly above chance (adults: t(11) = 6.33, p < .01; children: t(10) = 5.56, p < .01), again with no significant adult-child difference, t(21) > 1, n.s.
- Doubling exposure improved performance significantly, F(1, 46) = 12.5, p < .01, with no main effect of age, F(1, 46) = 0.162, n.s., and no interaction between exposure length and age, F(1, 46) = 0.94, n.s.
- Subjects learned the words despite not being told the tape was a language or that they would be tested; the only cues to word boundaries were transitional probabilities between syllables, higher within words (.31–1.0) than across word boundaries (.1–.2).
Methods
- Participants were monolingual English speakers: Experiment 1 had 12 University of Rochester undergraduates and 13 children aged 6–7; Experiment 2 had 12 paid adult college students and 11 children aged 6–7 from University of Rochester summer camps.
- Exposure used a 21-min synthesized speech stream containing 300 tokens of each of six trisyllabic nonsense words in random order, with no pauses or acoustic/prosodic cues to word boundaries; learning was tested with 36 two-alternative forced-choice trials pairing words against nonword foils.
- The cover task had subjects create computer illustrations with Kid Pix 2 while the tape played; Experiment 2 repeated the 21-min exposure on a second day before testing.
Limitations
- The paper states the linguistic input was more concentrated than natural learning environments and was impoverished, lacking utterance boundaries and acoustic/prosodic cues that probabilistically correlate with word boundaries; the study targeted incidental learning of statistical information rather than a full model of natural word-boundary acquisition.
- The paper states it was not trying to assess whether learning occurred without conscious awareness; subjects varied in reported awareness, and these differences did not correlate with performance.
- The paper states further research is needed to see whether child superiority in later natural-language stages appears in more complex statistical learning tasks or involves different, nonstatistical mechanisms; evident from the text, the samples were small and limited to 6- and 7-year-olds using an artificial language, so generalization to infants and natural language acquisition is not established.
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Claims the paper makes
11 Own interpretation · 8 Own method · 5 Supported so far · 4 No full text of the sources · 4 Own result · 3 Sources not found · 2 Partly supported · 2 Not checked yet · 2 No basis given · 1 Not supported · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“This absence of age differences is in line with the literature on age of learning in natural language acquisition.”
What the sources say
- Not checked — no full text of the sourcecites Johnson & Newport, 1989 source
- Partly supportedcites Newport, 1990 sourceExperimental — accuracy not yet measured
In “Evidence of Maturational Constraints in Second Language Learning,” the paper reports no significant relationship between age of arrival and performance among learners arriving at ages 17–39, which could support an absence of age differences among adults. But it reports strong age-of-acquisition effects through childhood in both first and second language learning. The citing sentence does not specify the age range or language feature for which differences were absent. (LLM, conf=0.83)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“basic word order is acquired equivalently by both child and adult learners”
What the sources say
- Not checked — no full text of the sourcecites Johnson & Newport, 1989 source
- Supportedcites Newport, 1990 source
In “Evidence of Maturational Constraints in First Language Learning,” Figure 1a is described as showing virtually perfect ASL basic-word-order scores across groups differing in age of first exposure. The second-language section likewise reports very similar word-order control for native and late learners of English. (LLM, conf=0.92)
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Across a language sample, sounds that co-occur within words tend to be more highly correlated with one another than sound pairs spanning word boundaries.”
What the sources say
- Not matchedcites Aslin et al., 1996
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Brent & Cartwright, 1996 sourceExperimental — accuracy not yet measured
Section 4.1 (page unavailable) describes placing word boundaries at troughs in transitional probabilities between syllables, and Section 5 says frequent adjacent subsequences are more likely to be treated as one word. These passages support the general idea that co-occurrence helps distinguish within-word sequences from boundary-spanning ones, but they do not report a comparison showing that sound pairs within words are, across a language sample, more highly correlated than pairs spanning boundaries. (LLM, conf=0.78)
- Not matchedcites Hayes & Clark, 1970
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“infants may be able to exploit statistical cues to word boundaries”
What the sources say
- Not matchedcites Aslin, Woodward, LaMendola, & Bever, 1996
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Supportedcites Brent & Cartwright, 1996 source
The Behavioral experiments section (p. unavailable) reports that 9-month-olds responded to a word followed by a variety of other words, as expected if they used distributional regularity to identify word boundaries. This supports the claim’s cautious wording that infants may exploit statistical cues. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites Saffran, Newport, & Aslin, 1996 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Not matched
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“In later stages, learners who began as children surpass those who began as adults”
What the sources say
- Not checked — no full text of the sourcecites Johnson & Newport, 1989 source
- Not matchedcites Krashen, Long, & Scarcella, 1982
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Supportedcites Newport, 1990 source
The Summary states that learners who begin in childhood reach more systematic levels of asymptotic language performance than those who begin in adulthood. This supports the claim about their relative performance in later stages; no page number is provided in our copy. (LLM, conf=0.94)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Critical-period effects (i.e., superiority of child learners over adults) emerge later in learning, particularly for more complex syntactic and morphological structures”
What the sources say
- Not checked — no full text of the sourcecites Johnson & Newport, 1989 source
- Not matchedcites Krashen et al., 1982
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Supportedcites Newport, 1990 source
In “Evidence of Maturational Constraints in Second Language Learning” (page unavailable), Newport contrasts adults’ advantage during the first year with differences in ultimately achieved competence, and reports age-related differences across most tested aspects of English morphology and syntax. The “What Changes Over Maturation” section (page unavailable) explains why children may have an advantage for structures requiring componential analysis. (LLM, conf=0.89)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“These differences in reported awareness did not correlate with performance.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There was no main effect of age, F(1, 46) = 0.162, n.s.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“no interaction between length of exposure and age, F(1, 46) = 0.94, n.s.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This finding suggests that the computation of the kinds of lowlevel contingencies found in some aspects of linguistic input is achieved with equal ease by learners who differ vastly on other dimensions of cognitive ability.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
- It may state two separate claims as one. 13
- Probably not a substantial claim. 13
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“language acquisition does not favor adults over children. Rather, the initial stages of language acquisition are characterized by age invariance.”
What the sources say
- Not checked — no full text of the sourcecites Johnson & Newport, 1989 source
- Not matchedcites Krashen, Long, & Scarcella, 1982
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Disputedcites Newport, 1990 sourceExperimental — accuracy not yet measured
In “What Changes Over Maturation” (page unavailable), Newport says that children and adults make different types of errors in the early stages of learning ASL, contrary to the claim of age invariance. The paper also predicts a child advantage for componential analysis and an adult advantage for whole-word learning, rather than a uniform pattern across language acquisition. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“recent computational models of language acquisition suggest that at least some pertinent language-learning mechanisms may induce structure from the input using statistical methods similar to those suggested by incidental-learning research”
What the sources say
- Supportedcites Brent & Cartwright, 1996 source
In “7. Three hypotheses” and “EXPERIMENT 1” (pages unavailable), the paper describes computer simulations that segment child-directed speech into words using distributional regularity, starting with no known words. “8.1. Algorithm” describes a measure based on the relative frequencies of candidate words. This supports the cited, hedged claim that a computational language-acquisition model can derive structure from input using statistical methods; the comparison to incidental-learning research is the citing authors’ framing. (LLM, conf=0.88)
- Not matchedcites Christiansen, 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Elman, 1990 source
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the children performed as well as the adults in both experiments.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Some subjects reported that they were aware of learning during the exposure period, whereas others actively tuned out the speech stream and were unaware of learning anything at all.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Subjects were told that they were participating in an experiment investigating the influence of auditory stimuli on creativity, and that they had approximately 20 min to work on an illustration using Kid Pix 2©, a coloring program designed for children, while a tape was playing in the background.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Subjects were not told that the sounds were actually words from a nonsense language.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“the transitional probability from one sound to the next will generally be highest when the two sounds follow one another word-internally; transitional probabilities spanning word boundaries will tend to be relatively low.”
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Subjects were not told that they were listening to a language, or even to listen at all; rather, they were engaged in a cover task of creating computer illustrations.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“Information about event frequency is acquired by humans across a broad range of natural and experimental situations, and is maintained even when there is no reason to remember the events in question”
What the sources say
- Not checked — no full text of the sourcecites Hasher, Zacks, Rose, & Sanft, 1987 source
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Six nonword foils were created to test subjects' learning, using syllables from the language in sequences that never occurred during the exposure period, even across word boundaries”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“the linguistic input was in the background and not part of the primary task.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“no pauses or any other acoustic or prosodic cues to word boundaries were present.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The fact that children, in particular, learned under these conditions suggests that incidental learning is a robust phenomenon that may play a role in natural language acquisition.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
- Rests on an assumption: During exposure, subjects' attention was not directed to the speech stream or to the word segmentation task.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“After four practice trials using word-nonword pairs from English to ensure that subjects understood the response procedure, the 36 test trials were presented.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These results also suggest that the computation of transitional probabilities can proceed incidentally, and therefore might underlie aspects of both natural language acquisition and learning in other domains.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
- Rests on an assumption: During exposure, subjects' attention was not directed to the speech stream or to the word segmentation task.
In the paper
“It has been suggested that the frequency of events present in the environment is a fundamental type of information that is encoded in memory incidentally”
What the sources say
- Not matchedcites Hasher & Zacks, 1984
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Not matched
None of the sources cited for this claim have been checked yet.
In the paper
“implicit-learning phenomena are based on learning mechanisms that capitalize on the statistical structure of the input”
What the sources say
- Not matchedcites Cleeremans, 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Perruchet & Pacteau, 1990 source
- Not matchedcites Reber, 1993
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
- Not matched
None of the sources cited for this claim have been checked yet.
In the paper
“The process of acquiring language is thus incidental in the sense that the child's primary task is presumably understanding, rather than acquiring, language”
What the sources say
- Not checked — no full text of the sourcecites Chomsky, 1975
- Not matchedcites Krashen, 1985
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Rather than including all the cues necessary for a model of the natural acquisition of word boundaries, the experimental situation specifically targeted the incidental learning of statistical information.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the linguistic input presented a more concentrated learning exposure than would be available to a learner in a more natural learning environment.”
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such learning abilities are a critical aspect of the child's genetic endowment, and as such may also be a crucial component of the human language-learning instinct.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: unclear — It is unclear whether it could be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
In the paper
“the input was quite impoverished, containing neither utterance boundaries nor the acoustic and prosodic cues that are probabilistically correlated with word boundaries in some languages”
What the sources say
- Not checked — no full text of the sourcecites Saffran et al., 1996 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The present study also provided a learning situation that is perhaps even more challenging than the child's actual language environment.”
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: fails — The paper may give no reason why it holds.
Probably not a substantial claim. The paper may give no reason why it holds.
- Rests on an assumption: Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
The paper relies on this without support.
Little research has examined the characteristics of incidental learning pertinent to children's language acquisition.
“However, little research has examined the characteristics of incidental learning pertinent to the process of children's language acquisition.”
The paper relies on this without support.
Word segmentation from continuous speech is an initial and crucial component of language acquisition, and the artificial-language segmentation task validly models that component.
“Learning entailed word segmentation from continuous speech, an initial and crucial component of language acquisition.”
The paper relies on this without support.
During exposure, subjects' attention was not directed to the speech stream or to the word segmentation task.
“Any learning that occurred was thus doubly incidental, in that attention was directed neither to the word segmentation task nor to the acoustic stimuli forming the words.”
The paper relies on this without support.
Before children can begin to acquire syntax, they must discover the words of their language.
“Before children can begin to acquire syntax, they must discover the words of their language”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“A second set of studies demonstrated that first-grade children as well as adults were able to succeed on this task, even when the speech stream was presented incidentally while subjects were attending to another task (Saffran et al., 1997).”
From Statistical learning of tone sequences by human infants and adults (1999) · cites this paper as Saffran et al., 1997
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(1, 46) = 0.162reported n.s. · recomputed p = .689
“F(1, 46) = 0.162, n.s.”
- ConsistentF(1, 46) = 0.94reported n.s. · recomputed p = .337
“F(1, 46) = 0.94, n.s.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Results and Discussion
“The difference between adults' and children's performance was not significant, t(23) > 1, n.s.”
§ Results and Discussion
“The mean score for the adults was 21.1 out of a possible 36 (58.6%), where chance equals 18. A single-sample t test (two-tailed) showed that performance was significantly better than chance, t(11) = 2.38, p < .05. The mean score for the children was 21.3 (59.2%), which was also significantly better than chance, t(12) = 3.67, p < .01.”
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Results and Discussion
“no interaction between length of exposure and age, F(1, 46) = 0.94, n.s.”
§ Method
“Twelve adult college students from the University of Rochester campus were recruited as subjects, and paid $10 for their participation. Eleven 6- and 7-year-old children were recruited from summer camps held at the University of Rochester.”
Citations
Cites
ASPECTS OF THE THEORY OF SYNTAX
Chomsky, N. (1964) · doi:10.21236/ad0616323 · Cited by 13,587
Elman, J. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1402_1 · Cited by 11,212
(1985) · Medical Entomology and Zoology · Cited by 3,896
The Input Hypothesis: Issues and Implications
Gregg, K. R., & Krashen, S. D. (1986) · TESOL Quarterly · doi:10.2307/3586393 · Cited by 3,043
Werker, J. F., & Tees, R. C. (1984) · Infant Behavior and Development · doi:10.1016/s0163-6383(84)80022-3 · Cited by 2,801 · cited 1×
“…of distributional analyses of the input, including the vowel space (Kuhl, Williams, Lacerda, Stevens, & Lindblom, 1992), consonant categories (Werker & Tees, 1984), phonotactic rules (Jusczyk, Friederici, Wessels, Svenkerud, & Jusczyk, 1993), phonological regularities (Jusczyk, Cutler, &…”
Johnson, J. S., & Newport, E. L. (1989) · Cognitive Psychology · doi:10.1016/0010-0285(89)90003-0 · Cited by 2,724
Self-citationBeyond modularity: a developmental perspective on cognitive science
Karmiloff‐Smith, A. (1993) · Choice Reviews Online · doi:10.5860/choice.30-5872 · Cited by 2,594
Bloom, L. M. (1974) · Language · doi:10.2307/412449 · Cited by 2,103
Linguistic experience alters phonetic perception in infants by 6 months of age
Kuhl, P. K., Williams, K. A., Lacerda, F., Stevens, K. N., & Lindblom, B. (1992) · Science · doi:10.1126/science.1736364 · Cited by 2,086
Karmiloff‐Smith, A. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1579.001.0001 · Cited by 2,078
Research works printed but not linked: 6
- Aslin R.N., 1996, Signal to syntax, 117
- Christiansen M.H. (1994). Infinite languages, finite minds: Connectionism, learning and linguistic structure. Unpublished doctoral dissertation. University of Edinburgh, Edinburgh, Scotland.
- Cleeremans A., 1995, Backpropagation: Theory, architectures, and applications, 273
- Cole R., 1980, A model of speech perception
- Ellis N.C., 1994, Implicit and explicit learning of languages
- Mintz T.H., 1995, Proceedings of NELS 25, 2, 43
Cited by
Sorted by citations
Items 301–400 of 683
Auditory-visual contextual cuing effect
Kawahara, J. (2007) · Perception & Psychophysics · doi:10.3758/bf03192955 · Cited by 22
Explicit and implicit memory representations in cross-situational word learning
Wang, F. H. (2020) · Cognition · doi:10.1016/j.cognition.2020.104444 · Cited by 23
Diminutives facilitate word segmentation in natural speech: Cross-linguistic evidence
Kempe, V., Brooks, P. J., Gillis, S., & Samson, G. (2007) · Memory & Cognition · doi:10.3758/bf03193313 · Cited by 21
Syllable frequency effects in a context-sensitive segment production model
Wade, T., Dogil, G., Schütze, H., et al. (2010) · Journal of Phonetics · doi:10.1016/j.wocn.2009.10.004 · Cited by 22
Central Alaskan Yupik (Eskimo-Aleut)
Woodbury, A. C. (2017) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199683208.013.30 · Cited by 21
The nature of the memory buffer in implicit learning: Learning Chinese tonal symmetries
Li, F., Jiang, S., Guo, X., et al. (2013) · Consciousness and Cognition · doi:10.1016/j.concog.2013.06.004 · Cited by 21
Monroy, C., Gerson, S. A., & Hunnius, S. (2018) · Memory & Cognition · doi:10.3758/s13421-018-0788-6 · Cited by 19
“Typical paradigms measure segmentation by the ability to remember the items they had observed during a previous learning phase (e.g., Baldwin et al., 2008; Saffran et al., 1997).”
The case for treatment fidelity in active music interventions: why and how
Wiens, N., & Gordon, R. L. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13639 · Cited by 19
Hautasaari, A., Hamada, T., Ishiyama, K., & Fukushima, S. (2019) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3369824 · Cited by 21
“Our results suggested that combining visual (i.e., appearance of a location) [3, 23, 24, 29, 37] and contextual cues [ 2, 8, 32] with audio-based verbal L1-L2 information improved the long-term retention of new L2 words for beginner level English language learners compared to audio-only L2 learning.”
BackgroundDevelopmental differences in effects of task pacing on implicit sequence learning
Hodel, A. S., Markant, J. C., Heuvel, S. E. V. D., Cirilli-Raether, J. M., & Thomas, K. M. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00153 · Cited by 21
Polysynthesis in the Arctic/Sub-Arctic
Fortescue, M. (2017) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199683208.013.15 · Cited by 20
Assessing the Sensitivity of EEG-Based Frequency-Tagging as a Metric for Statistical Learning
Pinto, D., Prior, A., & Golumbic, E. Z. (2021) · Neurobiology of Language · doi:10.1162/nol_a_00061 · Cited by 23
Infants Generalize Representations of Statistically Segmented Words
Estes, K. G. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00447 · Cited by 20
Rythme des langues et acquisition du langage
Ramus, F. (1999) · HAL · Cited by 21
Ordina, M., & Nesporb, M. (2013) · Language Learning · doi:10.1111/lang.12024 · Cited by 22
Attentional effects on rule extraction and consolidation from speech
López-Barroso, D., Cucurell, D., Rodríguez‐Fornells, A., & de Diego‐Balaguer, R. (2016) · Cognition · doi:10.1016/j.cognition.2016.03.016 · Cited by 23
Phonology in infancy and early childhood: implications for theories of language learning
Velleman, S. L., & Vihman, M. M. (2007) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230625396_2 · Cited by 19
Yin, L., & McBride, C. A. (2017) · Language Cognition and Neuroscience · doi:10.1080/23273798.2017.1360502 · Cited by 19
Do Infants Learn Words From Statistics? Evidence From English-Learning Infants Hearing Italian
Shoaib, A., Wang, T., Hay, J. S. F., & Lany, J. (2018) · Cognitive Sciences · doi:10.1111/cogs.12673 · Cited by 15
Kaan, E., & Chun, E. (2018) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2018.08.003 · Cited by 19
The influence of label co-occurrence and semantic similarity on children’s inductive generalization
Matlen, B. J., Fisher, A. V., & Godwin, K. E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01146 · Cited by 17
Long-term maintenance of novel vocabulary in persons with chronic aphasia
Tuomiranta, L., Rautakoski, P., Rinne, J. O., Martin, N., & Laine, M. (2012) · Aphasiology · doi:10.1080/02687038.2012.693583 · Cited by 19
“In addition to learning consciously by explicit teaching, some persons with aphasia have also shown a capacity for incidental learning (Grossman & Carey, 1987 ; Tuomiranta et al, 2011 ), ie, acquisition of content that the learner does not consciously aim to learn (for incidental learning in healthy adults and childre…”
BackgroundRoembke, T. C., & McMurray, B. (2021) · Memory & Cognition · doi:10.3758/s13421-021-01141-w · Cited by 18
Dissociation Between Linguistic and Nonlinguistic Statistical Learning in Children with Autism
Hu, A., Kozloff, V., Horne, A. O. V., Chugani, D. C., & Qi, Z. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-023-05902-1 · Cited by 23
“They found that 6-and 7-year-old TD children performed similarly as adults and were able to learn the trisyllabic words and distinguish them from nonsense words that never occurred in the artificial speech (Saffran et al., 1997).”
BackgroundNoun or verb? Adult readers’ sensitivity to spelling cues to grammatical category in word endings
Kemp, N., Nilsson, J., & Arciuli, J. (2009) · Reading and Writing · doi:10.1007/s11145-008-9140-z · Cited by 20
Young Children's Reliance on Information From Inaccurate Informants
Kim, S., Paulus, M., & Kalish, C. (2016) · Cognitive Science · doi:10.1111/cogs.12471 · Cited by 19
How Does the Extraction of Local and Global Auditory Regularities Vary with Context?
Marti, S., Thibault, L., & Dehaene, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107227 · Cited by 16
Lammertink, I. L., Boersma, P., Rispens, J., & Wijnen, F. N. K. (2020) · Reading and Writing · doi:10.1007/s11145-020-10018-4 · Cited by 17
“In these studies participants typically listen to a continuous stream of auditorily presented nonsense syllables, either presented in a continuous manner (e.g., bupadadutaba ; Saffran, Newport, Aslin, Tunick, & Barrueco, 1997) or with short pauses in between (e.g. tep wadim lut; Gómez, 2002).”
Grañena, G. (2012) · University Libraries (University of Maryland) · Cited by 18
Native Language Influence in the Segmentation of a Novel Language
Ordin, M., & Nespor, M. (2016) · Language Learning and Development · doi:10.1080/15475441.2016.1154858 · Cited by 17
Children automatically abstract categorical regularities during statistical learning
Jung, Y., Walther, D. B., & Finn, A. S. (2020) · Developmental Science · doi:10.1111/desc.13072 · Cited by 17
“…7-year-old) children's statistical learning performance did not differ from adults’ during an auditory statistical learning task that used syllables (Saffran et al., 1997), it fits with other work showing that adults display superior performance (as compared to children aged 6–11 years and…”
MethodResultSyntactic processing in the absence of awareness and semantics.
Hung, S., & Hsieh, P. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000094 · Cited by 17
Word Learning and the Origins of Phonological Systems
Vihman, M. M. (2009) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230240780_2 · Cited by 17
Incidental learning of abstract rules for non-dominant word orders
Francis, A. P., Schmidt, G. L., Carr, T. H., & Clegg, B. A. (2008) · Psychological Research · doi:10.1007/s00426-008-0138-6 · Cited by 16
Zen in the Art of Language Acquisition: Statistical Learning and the Less is More Hypothesis
Ludden, D., & Gupta, P. (2000) · eScholarship (California Digital Library) · Cited by 16
Broadbent, H. J., Osborne, T., Mareschal, D., et al. (2020) · Cognition · doi:10.1016/j.cognition.2020.104202 · Cited by 16
Phonological Priming With Nonwords in Children With and Without Specific Language Impairment
Brooks, P. J., Seiger‐Gardner, L., Obeid, R., & MacWhinney, B. (2015) · Journal of Speech Language and Hearing Research · doi:10.1044/2015_jslhr-l-14-0212 · Cited by 16
McMurray, B., & Hollich, G. J. (2009) · Developmental Science · doi:10.1111/j.1467-7687.2009.00821.x · Cited by 16
Tasks determine what is learned in visual statistical learning
Vickery, T. J., Park, S. H., Gupta, J., & Berryhill, M. E. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1405-6 · Cited by 14
Pennington, M. C. (2007) · Palgrave Macmillan UK eBooks · doi:10.1057/9780230625396 · Cited by 18
The neurocognition of adult second language learning: An fMRI study
Tagarelli, K. M. (2014) · DigitalGeorgetown (Georgetown University Library) · Cited by 16
A computational approach to morphonotactics: evidence from German
Calderone, B., Celata, C., Korecky‐Kröll, K., et al. (2014) · Language Sciences · doi:10.1016/j.langsci.2014.06.007 · Cited by 15
The effect of children’s prior knowledge and language abilities on their statistical learning
Stärk, K., Kidd, E., & Frost, R. L. A. (2022) · Applied Psycholinguistics · doi:10.1017/s0142716422000273 · Cited by 16
Development of statistical learning ability across modalities, domains, and languages
Ren, J., & Wang, M. (2022) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2022.105570 · Cited by 14
Implicit Learning of Regularities in Western Tonal Music by Self-Organization
Tillmann, B., Bharucha, J. J., & Bigand, E. (2001) · Perspectives in neural computing · doi:10.1007/978-1-4471-0281-6_18 · Cited by 16
Yamaguchi, M., & Logan, G. D. (2014) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000026 · Cited by 15
Spontaneous Learning of Visual Structures in Domestic Chicks
Salva, O. R., Fiser, J., Versace, E., et al. (2018) · Animals · doi:10.3390/ani8080135 · Cited by 15
Gómez, R. L. (2006) · doi:10.1093/oso/9780198568742.003.0004 · Cited by 15
Experimental Strategies for Understanding the Role of Experience in Music Cognition
Krumhansl, C. (2003) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1284.052 · Cited by 18
What canonical online and offline measures of statistical learning can and cannot tell usPreprint
Kiai, A., & Melloni, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.19.440449 · Cited by 15
Mutual implications of procrastination research in adults and children for theory and intervention
Mahy, C. E. V., Munakata, Y., & Miyake, A. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00341-w · Cited by 21
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Early Caregiver Predictability Shapes Neural Indices of Statistical Learning Later in Infancy
Forest, T. A., McCormick, S. A., Davel, L., Mlandu, N., Zieff, M. R., Khula South Africa Data Collection Team, Amso, D., Donald, K. A., & Gabard-Durnam, L. J. (2024) · Developmental Science · doi:10.1111/desc.13570 · Cited by 15
The role of procedural memory in grammar and numeracy skills
Mimeau, C., Coleman, M., & Donlan, C. (2016) · Journal of Cognitive Psychology · doi:10.1080/20445911.2016.1223082 · Cited by 14
Inferior frontal sensitivity to common speech sounds is amplified by increasing word intelligibility
Vaden, K. I., Kuchinsky, S. E., Keren, N. I., Harris, K. C., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.09.008 · Cited by 16
Incidental Learning of Gender Agreement in L2
Denhovska, N., & Serratrice, L. (2017) · Journal of Psycholinguistic Research · doi:10.1007/s10936-017-9487-x · Cited by 16
Hippocampal and auditory contributions to speech segmentation
Ramos‐Escobar, N., Mercier, M. R., Trébuchon, A., Rodríguez‐Fornells, A., Clément, F., & Schön, D. (2022) · Cortex · doi:10.1016/j.cortex.2022.01.017 · Cited by 14
Clinical Issues: What’s in a Word? A Functional Analysis of Word Learning
Gupta, P. (2005) · Perspectives on Language Learning and Education · doi:10.1044/lle12.3.4 · Cited by 14
Broedelet, I., Boersma, P., & Rispens, J. (2023) · Frontiers in Communication · doi:10.3389/fcomm.2023.1021654 · Cited by 14
Visual statistical learning requires attention
Duncan, D. H., van Moorselaar, D., & Theeuwes, J. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02605-1 · Cited by 16
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Tremblay, A., & Spinelli, E. (2013) · Language and Cognitive Processes · doi:10.1080/01690965.2012.689306 · Cited by 11
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Annie Vinter, A., Pacton, S., Witt, A., & Perruchet, P. (2010) · Collection de l'Académie européenne de médecine de réadaptation · doi:10.1007/978-2-8178-0034-9_6 · Cited by 17
Development of phonetic complexity in Arabic, Berber, English and French
Gayraud, F., Barkat-Defradas, M., Lahrouchi, M., & Hamed, M. B. (2018) · The Canadian Journal of Linguistics / La revue canadienne de linguistique · doi:10.1017/cnj.2018.9 · Cited by 13
Soares, A., Gutiérrez-Domínguez, F.-J., Vasconcelos, M. F. G., Oliveira, H., Tomé, D., & Jiménez, L. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.577991 · Cited by 12
Wiener, S., Ito, K., & Speer, S. R. (2020) · Studies in Second Language Acquisition · doi:10.1017/s0272263120000418 · Cited by 14
“Previous research reports that adult performance in statistical learning tasks improves when explicit instructions to attend to the stimuli are given (e.g., Ong et al., 2015; Saffran et al., 1997; Turk-Browne et al., 2010).”
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Yim, D., & Windsor, J. (2010) · Cited by 13
Acquisition of Russian: Uninterrupted and Incomplete Scenarios
Polinsky, M. (2007) · Cited by 13
Division of labor in a computational model of visual word recognition
Harm, M. W. (2015) · doi:10.25549/usctheses-c17-382022 · Cited by 13
Language Emergence in Development: A Computational Perspective
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Todd, S., Youssef, C. B., & Vásquez-Aguilar, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284919 · Cited by 12
Memories of structured input become increasingly distorted across development
Forest, T. A., Abolghasem, Z., Finn, A. S., & Schlichting, M. L. (2023) · Child Development · doi:10.1111/cdev.13940 · Cited by 12
Uuskoski, O. (2011) · Työväentutkimus Vuosikirja · Cited by 12
Implicit Segmentation of a Stream of Syllables Based on Transitional Probabilities: An MEG Study
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Dynamic changes in network activations characterize early learning of a natural language
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Parks, K. M. A., & Stevenson, R. A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02502 · Cited by 11
Batterink, L. J., Mulgrew, J., & Gibbings, A. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02079 · Cited by 11
Skoe, E., Krizman, J., Spitzer, E. R., & Kraus, N. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.718230 · Cited by 9
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Song, L., Pulverman, R., Pepe, C., Golinkoff, R. M., & Hirsh‐Pasek, K. (2015) · Language Learning and Development · doi:10.1080/15475441.2014.989051 · Cited by 11
Pittman, A. L., & de Diego-Lázaro, B. (2021) · Ear and Hearing · doi:10.1097/aud.0000000000001028 · Cited by 11
HAMRICK, P. J. J., & Rebuschat, P. (2014) · Lancaster EPrints (Lancaster University) · Cited by 14
Bonatti, L., Peña, M., Nespor, M., & Mehler, J. (2006) · Journal of experimental psychology. General · doi:10.1037/0096-3445.135.2.314 · Cited by 12
Singh, S., Daltrozzo, J., & Conway, C. M. (2017) · Neuroscience of Consciousness · doi:10.1093/nc/nix020 · Cited by 10
Virpioja, S., Lehtonen, M., Hultén, A., Kivikari, H., Salmelin, R. H., & Lagus, K. (2017) · Cognitive Science · doi:10.1111/cogs.12576 · Cited by 11
“In contrast to the segmentation methods based on low-transitional probabilities between segment boundaries (Hafer & Weiss, 1974; Harris, 1955; Saffran, Newport, & Aslin, 1997), criticized by Baayen et al. (2016), Morfessor is not based on the local transitional probabilities but global probabilities…”
MethodA self-presentational perspective on foreign language listening anxiety
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Statistical-sequential learning in development
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“Skipping ahead to about six years of age, earlier word segmentation and AGL work in young child learners of six-to nine-years would suggest that statistical-sequential learning effects may be age-invariant (e.g., Don et al. 2003; Saffran et al. 1997).”
Reversible second-order conditional sequences in incidental sequence learning tasks
Pasquali, A., Cleeremans, A., & Gaillard, V. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021818780690 · Cited by 10
“Thus, these and other findings (Cleeremans, 1993; Hasher & Zacks, 1984; Jiménez, Méndez, Pasquali, Abrahamse, & Verwey, 2011; Saffran et al., 1997) rather suggest that the learning process supporting a chunking of the AG rules, which these authors deem explicit indeed, might not be the only…”
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“Statistical learning is generally discussed as an automatic and implicit process that occurs with little effort or awareness on the part of the learner (Aslin & Newport, 2009; Saffran et al., 1997; Shohamy & Turk-Browne, 2013; Turk-Browne, Scholl, Chun, & Johnson, 2009).”
Spracherwerb und statistisches Lernen
Breitenstein, C., & Knecht, S. (2003) · Der Nervenarzt · doi:10.1007/s00115-002-1466-1 · Cited by 10
Conditional Probability and Word Discovery: A Corpus Analysis of Speech to Infants
Swingley, D. (2020) · Proceedings of the Twenty First Annual Conference of the Cognitive Science Society · doi:10.4324/9781410603494-131 · Cited by 7
Memory, Language Comprehension, and Mental Retardation
Merrill, E. C., Lookadoo, R., & Rilea, S. L. (2003) · International review of research in mental retardation · doi:10.1016/s0074-7750(03)27005-1 · Cited by 10
Räsänen, O. J., Seshadri, S., Lavechin, M., et al. (2020) · doi:10.31234/osf.io/p95dz · Cited by 10
Morphological segmentations of Non-Māori Speaking New Zealanders match proficient speakers
Panther, F. A., Mattingley, W., Hay, J. B., Todd, S., King, J., & Keegan, P. J. (2023) · Bilingualism Language and Cognition · doi:10.1017/s1366728923000329 · Cited by 12
The relationship between neural phase entrainment and statistical word-learning: A scoping review
Sjuls, G. S., Harvei, N. N., & Vulchanova, M. (2023) · Psychonomic Bulletin & Review · doi:10.3758/s13423-023-02425-9 · Cited by 11
“For adults, a two-alternative forced-choice (2AFC) task is often used (e.g., Lopez-Barroso et al., 2011; Saffran et al., 1997; Saffran et al., 1996b; Turk-Browne et al., 2005).”
MethodFrost, R. L. A., Monaghan, P., & Christiansen, M. H. (2016) · Lancaster EPrints (Lancaster University) · Cited by 9
Ziori, E., & Pothos, E. M. (2015) · Studies in bilingualism · doi:10.1075/sibil.48.11zio · Cited by 10
Capacities and neural mechanisms for auditory statistical learning across species
Schiavo, J. K., & Froemke, R. C. (2019) · Hearing Research · doi:10.1016/j.heares.2019.02.002 · Cited by 9
Metadata
- Authors
- Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A., & Barrueco, S.
- Affiliations
- University of Rochester (US)
- Department of Brain and Cognitive Sciences, University of Rochester
- United States Department of Veterans Affairs (US)
- University of Denver (US)
- Corresponding author
- Saffran, Jenny R.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 1997-03
- Volume
- 8
- Issue
- 2
- Pages
- 101-105
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2083195749
- Semantic Scholar
- 317b15f1ad52306f877f2a28cb99f1912dc17454
- Cited by
- 675
- References
- 44
- Citations by year
- 2026: 14 · 2025: 18 · 2024: 27 · 2023: 33 · 2022: 25 · 2021: 31 · 2020: 36 · 2019: 26 · 2018: 26 · 2017: 76 · 2016: 32 · 2015: 40 · 2014: 37 · 2013: 28 · 2012: 32
- FWCI
- 10.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Science (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Keywords
- incidental language learning, word segmentation, connected speech, artificial languages, transition probabilities, statistical learning, auditory learning, children versus adults, first grade students, syllable boundaries
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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