Given Bilingual Terminology in Statistical Machine Translation: MWE-Sensitve Word Alignment and Hierarchical Pitman-Yor Process-Based Translation Model Smoothing

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Summary

This paper considers a scenario when the authors are given almost perfect knowledge about bilingual terminology in terms of a test corpus in Statistical Machine Translation (SMT), and introduces a Multi-Word Expression-sensitive (MWE-sensitive) word aligner and a hierarchical Pitman-Yor process-based translation model smoothing.

Type
article
Published
2011-03-20
Cited by
9
References
28

Keywords

Terminology, Computer science, Natural language processing, Artificial intelligence, Machine translation

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