Séminaires RALI-OLST

Filtering parallel texts to improve translation model and cross-language information retrieval

Jian Cai

RALI, DIRO

Wednesday 2 May 2001 at 11:30 AM

Salle 3195, Pavillon André-Aisenstadt


One approach to cross-language information retrieval (CLIR) is to use a statistical translation model trained on parallel texts. In a previous project, several sets of parallel texts have been mined automatically from the Web. However, all the texts are not truly parallel. In order to increase the quality of the translation model, we tested several filtering approaches to parallel texts during and after sentence alignment. These approaches use either a bilingual dictionary, sentence lengths, the proportion of non-aligned sentences, or a combination of them. The experimental results on Chinese-English parallel texts show that after the filtering, the quality of the translation model, as well as CLIR effectiveness, are increased significantly.



Join with Zoom at this url.
Meeting ID: 916 9097 5818, 𝑷𝒂𝒔𝒔𝒄𝒐𝒅𝒆: 343273.
Phone numbers: https://umontreal.zoom.us/u/abitNZzLg.
One tap mobile: +14388097799,,91690975818#,,,,,,0#,,343273#


To receive weekly talk announcements, please send an e-mail to majordomo@iro.umontreal.ca. 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