An all-words sense annotated Turkish corpus
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Dosyalar
Tarih
2018-06-06
Yazarlar
Dergi Başlığı
Dergi ISSN
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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
Cilt
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
