We consider the problem of using a bilingual dictionary to transfer lexico-syntactic information from a resource-rich source language to a resource-poor target language. In contrast to past work that used bitexts to transfer analyses of specific sentences at the token level, we instead use features to transfer the behavior of words at a type level. In a discriminative dependency parsing framework, our approach produces gains across a range of target languages, using two different lowresource training methodologies (one weakly supervised and one indirectly supervised) and two different dictionary sources (one manually constructed and one automatically constructed).
REF constructed the set of language-independent features and used a bilingual dictionary as the bridge to transfer these features from source to target language.
Syntactic Transfer Using a Bilingual Lexicon
EMNLP
Computer Science