Word-for-Word Glossing with Contextually Similar Words

@inproceedings{Pantel2000WordforWordGW,
  title={Word-for-Word Glossing with Contextually Similar Words},
  author={Patrick Pantel and Dekang Lin},
  booktitle={ANLP},
  year={2000}
}
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. 
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