Cross-Lingual Morphological Tagging for Low-Resource Languages

Morphologically rich languages often lack the annotated linguistic resources required to develop accurate natural language processing tools. We propose models suitable for training morphological taggers with rich tagsets for low-resource languages without using direct supervision. Our approach exten...

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Bibliographische Detailangaben

Hauptverfasser:	Buys, Jan, Botha, Jan A
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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