Paper: You'll Take The High Road And I'll Take The Low Road: Using A Third Language To Improve Bilingual Word Alignment

ACL ID C00-1015
Title You'll Take The High Road And I'll Take The Low Road: Using A Third Language To Improve Bilingual Word Alignment
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

While language-independent selztence align- ment programs typically achieve a recall in the 90 percent range, tile same cannot be said about word alignment systems, where normal recall figures tend to fall somewhere between 20 and 40 percent, in tile language-indepeudent case. As words (and phrases) for wlrious reasons are more interesting to align than sentences, we need methods to increase word alignment recall, preferably without sacrificing precision. This paper reports on a series of experiments with pivot aligtunent, which is tile use of one or more additional hmguages to improve bilingual word aligment. Tile conclusion is that in a multilingual parallel corpus, pivot alignment is a safe way to iucrcase word alignment recall without lowering the precision.