Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Alok Ranjan Pal"'
Publikováno v:
2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE).
Autor:
Niladri Sekhar Dash, Srija Deb, Nirnoy Dutta, Meghna Majumder, Amrita Bhattacharyya, Subhadip Mondal, Alok Ranjan Pal
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Publikováno v:
International Journal of Speech Technology. 24:439-454
The paper presents a study on word sense disambiguation (WSD) in Bengali, one of the less resourced Indian languages. The overall work is carried out in two sequential phases. In the first phase, four well-known approaches, which are often applied fo
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811648069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7644aba519a20d909cc91151598141c5
https://doi.org/10.1007/978-981-16-4807-6_19
https://doi.org/10.1007/978-981-16-4807-6_19
Publikováno v:
Sādhanā. 47
Autor:
Alok Ranjan Pal, Antara Pal
Publikováno v:
2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
In this paper, a method has been proposed for user profiling based on tweeter data. The sentiments of the tweets are retrieved programmatically with the help of WordNet and News Paper Archive. In this experiment, the English WordNet 2.1 has been used
Publikováno v:
2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
This paper presents an approach for Detection and Automatic Correction of Bengali misspelled words using N-Gram model. Most of the works are established in this domain based on minimum edit distance between the words. But, in some of the cases, the d
In this paper, we are going to focus on speed up of the Word Sense Disambiguation procedure by filtering the relevant senses of an ambiguous word through Part-of-Speech Tagging. First, this proposed approach performs the Part-of-Speech Tagging operat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::087dddb818c91ccf82a42aae7d0360a8