Example-Based Machine Translation in the Pangloss System

The Pangloss Example-Based Machine Translation engine (PanEBMT) is a translation system requiring essentially no knowledge of the structure of a language, merely a large parallel corpus of example sentences and a bilingual dictionary. Input texts are segmented into sequences of words occurring in the corpus, for which translations are determined by subsentential alignment of the sentence pairs containing those sequences. These partial translations are then combined with the results of other translation engines to form the final translation produced by the Pangloss system. In an internal evaluation, PanEBMT achieved 70.2% coverage of unrestricted Spanish news-wire text, despite a simplistic subsentential alignment algorithm, a suboptimal dictionary, and a corpus from a different domain than the evaluation texts.

• Publication year

  1996

• Venue

  International Conference on Computational Linguistics

• Publication date

  1996-08-05

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/992628.992660
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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