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Using the Web to Obtain Frequencies for Unseen Bigrams
Open accessAbstract
This article shows that the Web can be employed to obtain frequencies for bigrams that are unseen in a given corpus. We describe a method for retrieving counts for adjective-noun, noun-noun, and verb-object bigrams from the Web by querying a search engine. We evaluate this method by demonstrating: (a) a high correlation between Web frequencies and corpus frequencies; (b) a reliable correlation between Web frequencies and plausibility judgments; (c) a reliable correlation between Web frequencies and frequencies recreated using class-based smoothing; (d) a good performance of Web frequencies in a pseudo disambiguation task.
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The Google Similarity Distance
Cilibrasi, R. L., & Vitanyi, P. M. B. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.48 · Cited by 1,760
Kilgarriff, A. (2007) · Computational Linguistics · doi:10.1162/coli.2007.33.1.147 · Cited by 286
Phonological typicality influences on-line sentence comprehension
Farmer, T. A., Christiansen, M. H., & Monaghan, P. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602173103 · Cited by 219
Metadata
- Authors
- Keller, F., & Lapata, M.
- Venue
- Computational Linguistics
- Publisher
- MIT Press - Journals
- Published
- 2003-09
- Volume
- 29
- Issue
- 3
- Pages
- 459-484
- ISSN
- 0891-2017 (ISSN-L)
- 1530-9312
- OpenAlex
- W2124416056
- Cited by
- 350
- References
- 0
- FWCI
- 26.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Keller, F., & Lapata, M. (2003). Using the Web to Obtain Frequencies for Unseen Bigrams. Computational Linguistics. https://doi.org/10.1162/089120103322711604
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