Incorporating Linguistic Information to Statistical Word-Level Alignment

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Incorporating Linguistic Information to Statistical Word-Level Alignment
Abstract. Parallel texts are enriched by alignment algorithms, thus establishing a relationship between the structures of the implied languages. Depending on the alignment level, the enrichment can be performed on paragraphs, sentences or words, of the expressed content in the source language and its translation. There are two main approaches to perform word-level alignment: statistical or linguistic. Due to the dissimilar grammar rules the languages have, the statistical algorithms usually give lower precision. That is why the development of this type of algorithms is generally aimed at a specific language pair using linguistic techniques. A hybrid alignment system based on the combination of the two traditional approaches is presented in this paper. It provides user-friendly configuration and is adaptable to the computational environment. The system uses linguistic resources and procedures such as identification of cognates, morphological information, syntactic trees, dictionaries, a...
Eduardo Cendejas, Grettel Barceló, Alexande
Added 16 Feb 2011
Updated 16 Feb 2011
Type Journal
Year 2009
Authors Eduardo Cendejas, Grettel Barceló, Alexander F. Gelbukh, Grigori Sidorov
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