Towards Syntax-Based Statistical Machine Translation
Friday 10 December 2004 at 2:00 PM
Salle 3195, Pavillon André-Aisenstadt
This talk will review the state of the art in statistical machine translation (SMT), and highlight some of my past and ongoing work towards syntax-based SMT.
The currently best methods in SMT build on the translation of phrases (any sequences of words) instead of single words. Phrase translation pairs are automatically learned from parallel corpora. While SMT systems generate translation output that often conveys a lot of the meaning of the original text, it is frequently ungrammatical and incoherent.
The research challenge at this point is to introduce syntactic knowledge to the state of the art in order to improve translation quality. I propose to break up the translation process along linguistic lines: My thesis work handled the translation of complex noun phrases. In ongoing work, I am addressing the challenges of translation at the clause level.
To receive weekly talk announcements, please send an e-mail to firstname.lastname@example.org. Simply write a message containing the single line 'subscribe ralli' (without the quotes).
See all the weekly talks for the year:1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022