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Cited by 275

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

A statistical approach to language translation

Open access
Brown, P., Cocke, J., Pietra, S. Della, Pietra, V. Della, Jelinek, F., Mercer, R., Roossin, P.·1988·Proceedings of the 12th conference on Computational linguistics -
DOI 10.3115/991635.991651
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Abstract

An approach to automatic translation is outlined that utilizes techniques of statistical information extraction from large data bases. The method is based on the availability of pairs of large corresponding texts that are translations of each other. In our case, the texts are in English and French.Fundamental to the technique is a complex glossary of correspondence of fixed locutions. The steps of the proposed translation process are: (1) Partition the source text into a set of fixed locutions. (2) Use the glossary plus contextual information to select the corresponding set of fixed locutions into a sequence forming the target sentence. (3) Arrange the words of the target fixed locutions into a sequence forming the target sentence.We have developed statistical techniques facilitating both the automatic creation of the glossary, and the performance of the three translation steps, all on the basis of an alignment of corresponding sentences in the two texts.While we are not yet able to provide examples of French / English translation, we present some encouraging intermediate results concerning glossary creation and the arrangement of target word sequences.

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Cited by

  • Aligning sentences in parallel corpora

    Brown, P. F., Lai, J. C., & Mercer, R. L. (1991) · Proceedings of the 29th annual meeting on Association for Computational Linguistics - · doi:10.3115/981344.981366 · Cited by 493

    Self-citation

  • Datasets: A Community Library for Natural Language Processing

    Lhoest, Q., Villanova del Moral, A., Jernite, Y., Thakur, A., von Platen, P., Patil, S., Chaumond, J., Drame, M., Plu, J., Tunstall, L., et al. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · doi:10.18653/v1/2021.emnlp-demo.21 · Cited by 343

    “…new dataset paradigms have been crucial for driving the development of NLP, from the Hansard corpus for statistical machine translation (Brown et al., 1988) to the Penn Treebank for syntactic modeling (Marcus et al., 1993) to projects like OPUS and Universal Dependencies (Nivre et al.,…”
    Method

See all 275

Metadata

Authors
Brown, P., Cocke, J., Pietra, S. D., Pietra, V. D., Jelinek, F., Mercer, R., & Roossin, P.
Venue
Proceedings of the 12th conference on Computational linguistics -
Publisher
Association for Computational Linguistics
Published
1988
Volume
1
Pages
71-76
ISSN
1525-2477 (ISSN-L)
DOI
10.3115/991635.991651
OpenAlex
W2048390999
Cited by
275
References
9
FWCI
3.33
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A statistical approach to language translation. https://app.cochat.ai/papers/10.3115/991635.991651
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Brown, P., Cocke, J., Pietra, S. D., Pietra, V. D., Jelinek, F., Mercer, R., & Roossin, P. (1988). A statistical approach to language translation. Proceedings of the 12th conference on Computational linguistics -. https://doi.org/10.3115/991635.991651

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

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