Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM
نویسندگان
چکیده
منابع مشابه
Unsupervised Word Alignment Using Frequency Constraint in Posterior Regularized EM
Generative word alignment models, such as IBM Models, are restricted to oneto-many alignment, and cannot explicitly represent many-to-many relationships in a bilingual text. The problem is partially solved either by introducing heuristics or by agreement constraints such that two directional word alignments agree with each other. In this paper, we focus on the posterior regularization framework...
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3 Department of Computer Science, School of Computing, National University of Singapore Abstract. Inversion transduction grammar (ITG) [1] is an effective constraint to word alignment search space. However, the traditional unsupervised ITG word alignment model is incapable of utilizing rich features. In this paper, we propose a novel feature-based unsupervised ITG word alignment model. With the...
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ژورنال
عنوان ژورنال: Journal of Natural Language Processing
سال: 2016
ISSN: 1340-7619,2185-8314
DOI: 10.5715/jnlp.23.327