Sentence Alignment by Means of Cross-Language Information Retrieval
Marta R., Rafael Enrique · InTech eBooks · 2011
Speech Technologiesdifferent phases: analysis, transfer and generation.Therefore, a rule-based system requires: syntax analysis, semantic analysis, syntax generation and semantic generation.Statistical Machine Translation (SMT), a corpus-based approach, is a more complicated form of word translation, where statistical weights are used to decide the most likely translation of a word.Modern SMT systems are phrase-based rather than word-based, and assemble translations using the overlap in phrases. Organization of the chapterThe rest of this chapter is structured as follows.Next section describes several sentence alignment approaches.Section 4 reports the motivation of our CLIR approach.Section 5 describes in detail how our sentence alignment system works.Section 6 describes the two machine translation approaches that are used and compared in this chapter: rule-based and statistically-based.Next, experimental framework and the proposed methodology are illustrated by performing cross-language text matching at the sentence level on a tetra-lingual document collection.Also, within this section, the performance quality of the implemented systems is compared, showing that in this application the statistical system provides better results than the rule-based system.Section 8 reports the translation quality of both translation systems and reports the correlation among translation quality and cross-language sentence matching quality.Finally, in section 9, most relevant conclusions derived from the experimental results are presented.