A systematic comparison of various statistical alignment models
Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Inducing multilingual text analysis tools via robust projection across aligned corpora
HLT '01 Proceedings of the first international conference on Human language technology research
Evaluating translational correspondence using annotation projection
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
BiFrameNet: bilingual frame semantics resource construction by cross-lingual induction
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Cross-Language Frame Semantics Transfer in Bilingual Corpora
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Moses: open source toolkit for statistical machine translation
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Scaling up automatic cross-lingual semantic role annotation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Wikipedia-based WSD for multilingual frame annotation
Artificial Intelligence
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Resources annotated with frame semantic information support the development of robust systems for shallow semantic parsing. Several researches proposed to automatically transfer the semantic information available for English corpora towards other resource-poor languages. In this paper, a semantic transfer approach is proposed based on Hidden Markov Models applied to aligned corpora. The experimental evaluation reported over an English-Italian corpus is successful, achieving 86% of accuracy on average, and improves on the state of the art methods for the same task.