Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Makazhanov, Aibek"'
We present LemMED, a character-level encoder-decoder for contextual morphological analysis (combined lemmatization and tagging). LemMED extends and is named after two other attention-based models, namely Lematus, a contextual lemmatizer, and MED, a m
Externí odkaz:
http://arxiv.org/abs/2010.10921
We present an approach to the extraction of family relations from literary narrative, which incorporates a technique for utterance attribution proposed recently by Elson and McKeown (2010). In our work this technique is used in combination with the d
Externí odkaz:
http://arxiv.org/abs/1405.0603
Autor:
MAKHAMBETOV, Olzhas, MAKAZHANOV, Aibek, YESSENBAYEV, Zhandos, Sabyrgaliyev, Islam, SHARAFUDİNOV, Anuar
Publikováno v:
Volume: 7, Issue: 2 31-36
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
Türkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi
We propose a method for complete morphological analysis of Kazakh language that accounts for both inflectional and derivational morphology. Our method is data-driven and does not require manually generated rules, which makes it convenient for analyzi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b7ef417f69cff24ecab1791a013791c
Publikováno v:
Computational Linguistics & Intelligent Text Processing 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I; 2015, p151-163, 13p
Autor:
Makazhanov, Aibek, Yessenbayev, Zhandos, Sabyrgaliyev, Islam, Sharafudinov, Anuar, Makhambetov, Olzhas
Publikováno v:
2014 IEEE 8th International Conference on Application of Information & Communication Technologies (AICT); 2014, p1-4, 4p
Publikováno v:
Computational Linguistics & Intelligent Text Processing: 15th International Conference, CICLing 2014, Kathmandu, Nepal, April 6-12, 2014, Proceedings, Part II; 2014, p533-541, 9p
Autor:
Makazhanov, Aibek, Rafiei, Davood
Publikováno v:
2013 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2013); 8/25/2013, p298-305, 8p
Publikováno v:
Social Network Analysis & Mining; Dec2014, Vol. 4 Issue 1, p1-15, 15p