Most previous work on annotation projection has been limited to a subset of IndoEuropean languages, using only a single source language, and projecting annotation for one task at a time. In contrast, we present an Integer Linear Programming (ILP) algorithm that simultaneously projects annotation for multiple tasks from multiple source languages, relying on parallel corpora available for hundreds of languages. When training POS taggers and dependency parsers on jointly projected POS tags and syntactic dependencies using our algorithm, we obtain better performance than a standard approach on 20/23 languages using one parallel corpus; and 18/27 languages using another.
Specifically, REF suggests a method for projecting POS tags and dependency parses onto a target language.
Joint part-of-speech and dependency projection from multiple sources
ACL
Computer Science