zNLP: Identifying Parallel Sentences in Chinese-English Comparable Corpora
Zheng Zhang, Pierre Zweigenbaum · 2017
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.43%) on the test (training) set.