Learning an English - Chinese Lexiconfrom a Parallel

We report experiments on automatic learning of an English-Chinese translation lexicon, through statistical training on a large parallel corpus. The learned vocabulary size is non-trivial at 6,517 English words averaging 2.33 Chinese translations per entry, with a manually-ltered precision of 95.1% and a single-most-probable precision of 91.2%. We then introduce a signiicance ltering method that is fully automatic, yet still yields a weighted precision of 86.0%. Learning of translations is adaptive to the domain. To our knowledge, these are the rst empirical results of the kind between an Indo-European and non-Indo-European language for any signiicant corpus size with a non-toy vocabulary.