zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora
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.
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