Current methods of using lexical features in machine translation have difficulty in scaling up to realistic MT tasks due to a prohibitively large number of parameters involved. In...
The precise identification of light verb constructions is crucial for the successful functioning of several NLP applications. In order to facilitate the development of an algorith...
Some Statistical Machine Translation systems never see the light because the owner of the appropriate training data cannot release them, and the potential user of the system canno...
This paper investigates the impact of misspelled words in statistical machine translation and proposes an extension of the translation engine for handling misspellings. The enhanc...
This paper proposes new algorithms to compute the sense similarity between two units (words, phrases, rules, etc.) from parallel corpora. The sense similarity scores are computed ...