Cognate Identification for a French- Romanian Lexical Alignment System: Empirical Study

This paper describes a cognate identifica-tion method, used by a lexical alignment system for French and Romanian. We combine statistical techniques and lin-guistic information to extract cognates from lemmatized, tagged and sentence-aligned parallel corpora. We evaluate the cognate identification model and we compare it to other methods using pure statistical techniques. We show that the use of linguistic information in the cog-nate identification system improves sig-nificantly the results.