Learning Translations of Named-Entity Phrases from Parallel Corpora

We develop a new approach to learning phrase translations from parallel corpora, and show that it performs with very high coverage and accuracy in choosing French translations of English named-entity phrases in a test corpus of software manuals. Analysis of a subset of our results suggests that the method should also perform well on more general phrase translation tasks.

• Type: Conference
• Year: 2003
• Where: EACL
• Authors: Robert C. Moore
• Keywords: EACL 2003, English Named-entity Phrases, Natural Language Processing, Phrase Translation, Phrase Translation Tasks