Localization of Difficult-to-Translate Phrases

This paper studies the impact that difficult-to-translate source-language phrases might have on the machine translation process. We formulate the notion of difficulty as a measurable quantity; we show that a classifier can be trained to predict whether a phrase might be difficult to translate; and we develop a framework that makes use of the classifier and external resources (such as human translators) to improve the overall translation quality. Through experimental work, we verify that by isolating difficult-to-translate phrases and processing them as special cases, their negative impact on the translation of the rest of the sentences can be reduced.

• Publication year

  2007

• Venue

  WMT@ACL

• Publication date

  2007-06-23

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1626355.1626392
• 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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