A multilayer annotated corpus for Turkish

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Tarih

2018-06-06

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

In this paper, we present the first multilayer annotated corpus for Turkish, which is a low-resourced agglutinative language. Our dataset consists of 9,600 sentences translated from the Penn Treebank Corpus. Annotated layers contain syntactic and semantic information including morphological disambiguation of words, named entity annotation, shallow parse, sense annotation, and semantic role label annotation.

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Anahtar Kelimeler

Multilayer annotation, Turkish, Named entity annotation, Shallow parse annotation, Semantic role labeling, Word sense annotation, Morphological annotation, Multilayers, Semantics, Speech processing, Named entities, Word sense, Natural language processing systems, Speech, Part-of-speech tagging

Kaynak

2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP)

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Künye

Yıldız, O. T., Ak, K., Ercan, G., Topsakal, O. & Asmazoğlu, C. (2018). A multilayer annotated corpus for turkish. Paper presented at the 2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP), 21-26. doi:10.1109/ICNLSP.2018.8374369