Naslov
Synthetic Treebanking for Cross-Lingual Dependency Parsing

Autori
Tiedemann, Jörg ; Agić, Željko

Izvornik
The journal of artificial intelligence research (1076-9757) 55 (2015); 209-248

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
dependency parsing; machine translation; annotation projection; cross-lingual NLP

Sažetak
How do we parse the languages for which no treebanks are available? This contribution addresses the cross-lingual viewpoint on statistical dependency parsing, in which we attempt to make use of resource-rich source language treebanks to build and adapt models for the under-resourced target languages. We outline the benefits, and indicate the drawbacks of the current major approaches. We emphasize synthetic treebanking: the automatic creation of target language treebanks by means of annotation projection and machine translation. We present competitive results in cross-lingual dependency parsing using a combination of various techniques that contribute to the overall success of the method. We further include a detailed discussion about the impact of part-of-speech label accuracy on parsing results that provide guidance in practical applications of cross-lingual methods for truly under-resourced languages.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

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