Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 698

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Translation techniques in cross-language information retrieval

Open access
Zhou, Dong, Truran, Mark, Brailsford, Tim, Wade, Vincent, Ashman, Helen·2012·ACM Computing Surveys
DOI 10.1145/2379776.2379777
Open this paper in CoChat — free account

Abstract

Cross-language information retrieval (CLIR) is an active sub-domain of information retrieval (IR). Like IR, CLIR is centered on the search for documents and for information contained within those documents. Unlike IR, CLIR must reconcile queries and documents that are written in different languages. The usual solution to this mismatch involves translating the query and/or the documents before performing the search. Translation is therefore a pivotal activity for CLIR engines. Over the last 15 years, the CLIR community has developed a wide range of techniques and models supporting free text translation. This article presents an overview of those techniques, with a special emphasis on recent developments.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/2379776.2379777

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 698

Metadata

Authors
Zhou, D., Truran, M., Brailsford, T., Wade, V., & Ashman, H.
Venue
ACM Computing Surveys
Publisher
Association for Computing Machinery (ACM)
Published
2012-11
Volume
45
Issue
1
Pages
1-44
ISSN
  • 0360-0300 (ISSN-L)
  • 1557-7341
DOI
10.1145/2379776.2379777
OpenAlex
W2149945051
Cited by
698
References
5
FWCI
125.81
Type
journal article
Language
en
Open access
green

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.

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 ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.