An all-words sense annotated Turkish corpus

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Tarih

2018-06-06

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This paper reports our efforts in constructing of a sense labeled Turkish corpus with respect to Turkish Language Institution's dictionary, using the traditional method of manual tagging. We tagged a pre-built parallel treebank which is translated from the Penn Treebank II corpus. This approach allowed us to generate a full-coverage resource, in which syntactic and semantic information merged. We also provide miscellaneous statistics about the corpus itself as well as its development process.

Açıklama

Anahtar Kelimeler

Natural language processing, Turkish sense annotation, All-words corpus, Semantics, Knowledge based systems, Disambiguation WSD, Forestry, Semantics, Speech processing, Development process, Penn Treebank II corpus, Semantic information, Treebanks, Turkish language, Turkishs, Natural language processing systems

Kaynak

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

WoS Q Değeri

N/A

Scopus Q Değeri

N/A

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Sayı

Künye

Akcakaya, S. & Yıldız, O. T. (2018). An all-words sense annotated turkish corpus. Paper presented at the 2018 2nd International Conference on Natural Language and Speech Processing (ICNLSP), 15-20. doi:10.1109/ICNLSP.2018.8374368