A New Feature to Improve Moore’s Sentence Alignment Method

The sentence alignment approach proposed by Moore, 2002 (M-Align) is an effective method which gets a rela-tively high performance based on mbination of length-based and word correspondences. Nevertheless, despite the high precision, M-Align usually gets a low recall especially when dealing with sparse data problem. We pro-pose an algorithm which not only exploits advantages of M-Align but overcomes the weakness of this baseline method by using a new feature in sentence alignment, word clustering. Experiments shows an mprovement on the baseline method up to 30% recall while precision is reasonable.

Title:	A New Feature to Improve Moore’s Sentence Alignment Method
Authors:	Trieu, Hai-Long Nguyen, Phuong-Thai Nguyen, Le-Minh
Keywords:	Sentence Alignment Parallel Corpora Word Clustering Natural Language Processing
Issue Date:	2015
Publisher:	H. : ĐHQGHN
Citation:	p. 32-44
Series/Report no.:	Vol. 31, No. 1;
Abstract:	The sentence alignment approach proposed by Moore, 2002 (M-Align) is an effective method which gets a rela-tively high performance based on mbination of length-based and word correspondences. Nevertheless, despite the high precision, M-Align usually gets a low recall especially when dealing with sparse data problem. We pro-pose an algorithm which not only exploits advantages of M-Align but overcomes the weakness of this baseline method by using a new feature in sentence alignment, word clustering. Experiments shows an mprovement on the baseline method up to 30% recall while precision is reasonable.
URI:	http://repository.vnu.edu.vn/handle/VNU_123/965
ISSN:	0866-8612
Appears in Collections:	Chuyên san Công nghệ thông tin và Truyền thông