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1
Multilingual Projection for Parsing Truly Low-Resource Languageš
Agic, Zeljko
;
Johannsen, Anders
;
Plank, Barbara
;
Martínez Alonso, Héctor
;
Schluter, Natalie
;
Søgaard, Anders
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2016 (2016)
Abstract:
International audience ; We propose a novel approach to cross-lingual part-of-speech tagging and dependency parsing for truly low-resource languages. Our annotation projection-based approach yields tagging and parsing models for over 100 languages. All that is needed are freely available parallel texts, and taggers and parsers for resource-rich languages. The empirical evaluation across 30 test languages shows that our method consistently provides top-level accuracies , close to established upper bounds, and outperforms several competitive baselines.
Keyword:
[SHS.LANGUE]Humanities and Social Sciences/Linguistics
;
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
;
dependency parsing
;
multisource projection
;
natural language processing
;
syntax
URL:
https://hal.inria.fr/hal-01426754/document
https://hal.inria.fr/hal-01426754
https://hal.inria.fr/hal-01426754/file/Q16-1022.pdf
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