Abstract
We develop a new objective function for word alignment that measures the size of the bilingual dictionary induced by an alignment. A word alignment that results in a small dictionary is preferred over one that results in a large dictionary. In order to search for the alignment that minimizes this objective, we cast the problem as an integer linear program. We then extend our objective function to align corpora at the sub-word level, which we demonstrate on a small Turkish-English corpus.
Cite
CITATION STYLE
Bodrumlu, T., Knight, K., & Ravi, S. (2009). A New Objective Function for Word Alignment. In NAACL HLT 2009 - Integer Linear Programming for Natural Language Processing, Proceedings of the Workshop (pp. 28–35). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1611638.1611642
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