A Comparison of Methods for Identifying the Translation of Words in a Comparable Corpus: Recipes and Limits
Wednesday 24 February 2016 at 11:30 AM
C-2059 - Pavillon Lionel-Groulx / Carrefour des arts et des sciences — Endroit inhabituel - Salle de vidéoconférence
Identifying translations in comparable corpora is a challenge that has attracted many researchers since a long time. It has applications in several fields including Machine Translation and Cross-lingual Information Retrieval. In this study we compare three state-of-the-art approaches for these tasks: the so-called context-based projection method, the projection of the word embedding, as well as a method dedicated to identify translation of rare words. We carefully explore the meta-parameters of each method and measure their impact on the task of identifying the translation of English words in Wikipedia into French.
Contrary to the standard practice, we designed a test case where we do not resort to heuristics in order to pre-select the target vocabulary among which to find the translation, therefore pushing each method to its limit. We show that all the approaches we tested have a clear biased toward frequent words. In fact, the best approach we tested could identify the translation of a third of a set of frequent test words, while it could only translate around 10% of rare words. In the end, we show that the union of the three approaches yields the best results, thus demonstrating their complementarity.
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