Work

NTT system description for the WMT2006 shared task

Year: 2006

Type: conference-paper

Abstract: We present two translation systems experimented for the shared-task of "Workshop on Statistical Machine Translation," a phrase-based model and a hierarchical phrase-based model. The former uses a phrasal unit for translation, whereas the latter is conceptualized as a synchronous-CFG in which phrases are hierarchically combined using non-terminals. Experiments showed that the hierarchical phrase-based model performed very comparable to the phrase-based model. We also report a phrase/rule extraction technique differentiating tokenization of corpora.

Source: Conference on Machine Translation (WMT)

DOI: 10.3115/1654650.1654667

Authors: Taro Watanabe, Hajime Tsukada, Hideki Isozaki

Institution: NTT (Japan)

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2124277159

FWCI: 1.238

Cites: 11

Cited by: 7

Related to: 9