论文信息 - Combining Linguistic Data Views for Phrase-based SMT

Combining Linguistic Data Views for Phrase-based SMT

We describe the Spanish-to-English LDV-COMBO system for the Shared Task 2: "Exploiting Parallel Texts for Statistical Machine Translation" of the ACL-2005 Workshop on "Building and Using Parallel Texts: Data-Driven Machine Translation and Beyond". Our approach explores the possibility of working with alignments at different levels of abstraction, using different degrees of linguistic annotation. Several phrase-based translation models are built out from these alignments. Their combination significatively outperforms any of them in isolation. Moreover, we have built a word-based translation model based on WordNet which is used for unknown words.

Lluís Màrquez i Villodre | Jesús Giménez

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