Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Partha Pakray"'
Publikováno v:
Procedia Computer Science. 218:979-988
Publikováno v:
Procedia Computer Science. 218:2350-2358
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:6624-6634
Retrieval of mathematical information from scientific documents is one of the crucial tasks. Numerous Mathematical Information Retrieval (MIR) systems have been developed, which mainly focus on the improvement over the indexing and the searching mech
Autor:
Abdullah Faiz Ur Rahman Khilji, Utkarsh Sinha, Pintu Singh, Adnan Ali, Pankaj Dadure, Riyanka Manna, Partha Pakray
Publikováno v:
SN Computer Science. 4
Publikováno v:
Silicon. 14:12203-12212
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4727-4738
Language translation is essential to bring the world closer and plays a significant part in building a community among people of different linguistic backgrounds. Machine translation dramatically helps in removing the language barrier and allows easi
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031237928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f1b233678f621f9400869b4f00c17d
https://doi.org/10.1007/978-3-031-23793-5_25
https://doi.org/10.1007/978-3-031-23793-5_25
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d443af2d2d6091ecd7e2a57de6f78eb
https://doi.org/10.1007/978-3-031-23804-8_29
https://doi.org/10.1007/978-3-031-23804-8_29
Publikováno v:
Evolution in Computational Intelligence ISBN: 9789811975127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1eb31cc1f074b69784e5aa06a3d1788f
https://doi.org/10.1007/978-981-19-7513-4_20
https://doi.org/10.1007/978-981-19-7513-4_20
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 21:1-24
Part-of-speech (POS) tagging is one of the research challenging fields in natural language processing (NLP). It requires good knowledge of a particular language with large amounts of data or corpora for feature engineering, which can lead to achievin