Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sunita Warjri"'
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
Publikováno v:
International Conference on Innovative Computing and Communications ISBN: 9789811936784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48e9c98d307504c561c9b3b6ae4c9229
https://doi.org/10.1007/978-981-19-3679-1_11
https://doi.org/10.1007/978-981-19-3679-1_11
Publikováno v:
International Journal of Speech Technology. 24:853-864
Khasi is a language that belongs to the Mon-Khmer language of the Austroasiatic group. Khasi language is spoken by the indigenous people of the state of Meghalaya in India. This paper presents a work on Part-of-speech (POS) tagging for the Khasi lang
Publikováno v:
Computación y Sistemas. 26
Part-of-speech tagging is a process of assigning each word of a sentence to a part of speech based on its context and definition. POS tagging is a prerequisite tool for many NLP tasks like word sense disambiguity, name entity information extraction,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1969cdcdc7c035d5b34be7e1be831758
https://doi.org/10.4018/978-1-7998-9795-8.ch008
https://doi.org/10.4018/978-1-7998-9795-8.ch008
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789813340831
The main purpose of this paper is to develop part-of-speech (PoS) tagging for the Khasi language based on conditional random field (CRF) approaches. Khasi belongs to a Mon–Khmer language of the Austroasiatic language family that is spoken by the na
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b2dc3f8f1147ae4c3974059a48dd646
https://doi.org/10.1007/978-981-33-4084-8_8
https://doi.org/10.1007/978-981-33-4084-8_8
Publikováno v:
Computación y Sistemas. 23
Computational Linguistic (CL) becomes an essential and important amenity in the present scenarios, as many different technologies are involved in making machines to understand human languages. Khasi is the language which is spoken in Meghalaya, India
Publikováno v:
Advances in Communication, Devices and Networking ISBN: 9789811079009
Imaging modalities are noninvasive, fast, and accurate in the diagnosis of different anatomical disorders. As such, there is a pertinent requirement for segmentation of the organs to give proper visual information on the morphological and pathologica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70513315fcca7b9fc89d1694b0d274c3
https://doi.org/10.1007/978-981-10-7901-6_68
https://doi.org/10.1007/978-981-10-7901-6_68
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789811068898
With the help of computer science in today’s world many advances have been made in the field of facial expression recognition. It is considered as an important measure of social interactions and there are many applications that can be helpful to hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a2faa2e61bbb8a09c9af392cb3d096
https://doi.org/10.1007/978-981-10-6890-4_34
https://doi.org/10.1007/978-981-10-6890-4_34
Publikováno v:
Proceedings of the International Conference on Computing and Communication Systems ISBN: 9789811068898
Human face recognition is very interesting as well as very challenging area of research. In our study of different existing face recognition schemes, we have seen that it has very important role in many applications. For this paper, we have studied a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c5d52d2074add349b7bb2760f85dce6
https://doi.org/10.1007/978-981-10-6890-4_33
https://doi.org/10.1007/978-981-10-6890-4_33