An All-Words Sense Annotated Turkish Corpus

被引：0
|
作者：
Akcakaya, Sinan [1 ]
Yildiz, Olcay Taner [1 ]
机构：
[1] Isik Univ, Dept Comp Engn, Istanbul, Turkey
来源：
2018 2ND INTERNATIONAL CONFERENCE ON NATURAL LANGUAGE AND SPEECH PROCESSING (ICNLSP) | 2018年
关键词：
Natural language processing; Turkish sense annotation; all-words corpus;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：15 / 20
页数：6
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