Building A Translation Lexicon From Comparable, Non-Parallel Corpora

摘要

A machine translation system may use non-parallel monolingual corpora to generate a translation lexicon. The system may identify identically spelled words in the two corporal and use them as a seed lexicon. The system may use various clues 1 e.g., context and frequency, to identify and score other possible translation pairs 1 using the seed lexicon as a basis. An alternative system may use a small bilingual lexicon in addition to non-parallel corpora to learn translations of unknown words and to generate a parallel corpus.