Séminaires RALI-OLST

Machine Translation by Parsing

Dan Melamed

Courant Institute of Mathematical Sciences New York University

Thursday 6 November 2003 at 11:30 AM


State-of-the-art machine translation systems often make syntactic errors. Part of the reason is that known models of syntax are either insufficiently expressive or computationally too expensive. To remedy this situation, we introduce Multitext Grammars (MTGs). MTGs generate parallel texts, along with their parallel syntactic structures. We then introduce synchronous parsers. These are efficient algorithms for inferring the kinds of structures generated by MTGs. Finally, we show that syntax-aware translation requires nothing more than a synchronous parser and a trivial post-processor.


Follow this link to subscribe to future RALI-OLST announcements.
http://rali.iro.umontreal.ca/rali/?q=fr/node/1631

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 2023 2024