Word-for-Word Glossing with Contextually Similar Words

Many corpus-based machine translation systems require parallel corpora. In this paper, we present a word-for-word glossing algorithm that requires only a source language corpus. To gloss a word, we first identify its similar words that occurred in the same context in a large corpus. We then determine the gloss by maximizing the similarity between the set of contextually similar words and the different translations of the word in a bilingual thesaurus.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Patrick Pantel, Dekang Lin
• Keywords: ANLP 2000, Many Corpus-based Machine, Similar Words, Word-for-word Glossing Algorithm