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    <abstract>This paper describes the zNLP system for the BUCC 2017 shared task. Our system identifies parallel sentence pairs in Chinese-English comparable corpora by translating word-by-word Chinese sentences into English, using the search engine Solr to select near-parallel sentences and then by using an SVM classifier to identify true parallel sentences from the previous results. It obtains an F1-score of 45% (resp. 32%) on the test (training) set.</abstract>
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%0 Conference Proceedings
%T zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora
%A Zhang, Zheng
%A Zweigenbaum, Pierre
%Y Sharoff, Serge
%Y Zweigenbaum, Pierre
%Y Rapp, Reinhard
%S Proceedings of the 10th Workshop on Building and Using Comparable Corpora
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F zhang-zweigenbaum-2017-znlp
%X This paper describes the zNLP system for the BUCC 2017 shared task. Our system identifies parallel sentence pairs in Chinese-English comparable corpora by translating word-by-word Chinese sentences into English, using the search engine Solr to select near-parallel sentences and then by using an SVM classifier to identify true parallel sentences from the previous results. It obtains an F1-score of 45% (resp. 32%) on the test (training) set.
%R 10.18653/v1/W17-2510
%U https://aclanthology.org/W17-2510
%U https://doi.org/10.18653/v1/W17-2510
%P 51-55

Markdown (Informal)

[zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora](https://aclanthology.org/W17-2510) (Zhang & Zweigenbaum, BUCC 2017)

• zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora (Zhang & Zweigenbaum, BUCC 2017)

ACL

• Zheng Zhang and Pierre Zweigenbaum. 2017. zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora. In Proceedings of the 10th Workshop on Building and Using Comparable Corpora, pages 51–55, Vancouver, Canada. Association for Computational Linguistics.