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To address this issue, this paper presents two approaches, referred to as sub-tree alignment and phrase-based forced decoding methods, to automatically learn translation span alignments from parallel data. Then, we improve the translation rule extraction by deleting spurious links and inserting new links based on bilingual translation span correspondences. Some comparison experiments are designed to demonstrate the effectiveness of the proposed approaches.<\/jats:p>","DOI":"10.1017\/s1351324913000260","type":"journal-article","created":{"date-parts":[[2013,9,6]],"date-time":"2013-09-06T12:41:50Z","timestamp":1378471310000},"page":"227-249","source":"Crossref","is-referenced-by-count":4,"title":["Improving syntactic rule extraction through deleting spurious links with translation span 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