Reassessing the value of resources for cross-lingual transfer of POS tagging models

Author:

Pécheux Nicolas,Wisniewski GuillaumeORCID,Yvon François

Funder

Université Paris Sud

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference59 articles.

1. Berg-Kirkpatrick, T., Bouchard-Côté, A., DeNero, J., & Klein, D. (2010). Painless unsupervised learning with features. In Proceedings of the 2010 annual conference of the North American Chapter of the Association for Computational Linguistics: Human language technologies, Los Angeles, California, NAACL HLT’10 (pp. 582–590).

2. Black, E., Jelinek, F., Lafferty, J., Magerman, D.M., Mercer, R., & Roukos, S. (1992). Towards history-based grammars: Using richer models for probabilistic parsing. In Proceedings of the workshop on speech and natural language, Association for Computational Linguistics, Stroudsburg, PA, USA, HLT’91 (pp. 134–139).

3. Bordes, A., Usunier, N., & Weston, J. (2010). Label ranking under ambiguous supervision for learning semantic correspondences. In Proceedings of the international conference on machine learning, ICML’10 (pp. 103–110).

4. Borin, L. (2002). Alignment and tagging. Language and Computers, 43(1), 207–217.

5. Broschart, J. (2009). Why Tongan does it differently: Categorial distinctions in a language without nouns and verbs. Linguistic Typology, 1, 123–166.

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