Direct Models and their application to Word-Alignment and Machine-Translation – Abe Ittycheriah (IBM)
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I’ll present our work at IBM on word-alignment algorithms trained using supervised corpora. Also, I’ll demonstrate how improved alignments required changes in machine translation and then present the direct translation model. This work is primarily focused on Arabic to English. I’ll review some of the changes since our published papers in both word alignment and machine translation.
Abraham Ittycheriah works as a Research Staff Member in the Natural Language System group at the IBM T.J. Watson Research Lab in Yorktown Heights, NY. Over the last four years, his primary focus has been on machine translation and word alignment between Arabic and English. He is also responsible for the Statistical Machine Translation engine used in several government projects. Prior to this assignment, at IBM he has worked on Question Answering and Telephone speech recognition algorithms and interfaces. He obtained his PhD from Rutgers, The State University of New Jersey in 2001.