Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ikechukwu E. Onyenwe"'
Publikováno v:
International Journal on Natural Language Computing. 10:01-07
Websites are regarded as domains of limitless information which anyone and everyone can access. The new trend of technology put us to change the way we are doing our business. The Internet now is fastly becoming a new place for business and the advan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dcf2e7e284aa1fc63817057e22bedda
https://doi.org/10.5121/ijnlc.2021.10501
https://doi.org/10.5121/ijnlc.2021.10501
Autor:
Ikechukwu E. Onyenwe, Samuel N.C. Nwagbo, Rita Orji, Ebele Onyedinma, Onyedikachukwu Ikechukwu-Onyenwe, Chidinma A. Nwafor, Obinna Agbata
Sentiment analysis is a natural language processing (NLP) tool that uses automatic methods to capture the opinions of the masses over social media such as Twitter, especially for election monitoring and predictions. However, recent researches have ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e67202c11961d18c72b18ba6e6b5080
https://doi.org/10.21203/rs.3.rs-2104488/v1
https://doi.org/10.21203/rs.3.rs-2104488/v1
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 18:1-26
Part-of-speech (POS) tagging is a well-established technology for most Western European languages and a few other world languages, but it has not been evaluated on Igbo, an agglutinative African language. This article presents POS tagging experiments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d47a6deb90e4b0f6891fe067f316302
https://doi.org/10.1145/3314942
https://doi.org/10.1145/3314942
Automatic multiple-choice question generation (MCQG) is a useful yet challenging task in Natural Language Processing (NLP). It is the task of automatic generation of correct and relevant questions from textual data. Despite its usefulness, manually c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4d02f9b16448a6f18a3d82f54ecb7b
http://arxiv.org/abs/2103.14757
http://arxiv.org/abs/2103.14757
Publikováno v:
Social Network Analysis and Mining. 10
This work investigates empirically the impact of political party control over its candidates or vice versa on winning an election using a natural language processing technique called sentiment analysis (SA). To do this, a set of 7430 tweets bearing o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe3ea8ed370645fbcf2d767392e84609
https://doi.org/10.1007/s13278-020-00667-2
https://doi.org/10.1007/s13278-020-00667-2
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 17:1-23
Igbo, an African language with around 32 million speakers worldwide, is one of the many languages having few or none of the language processing resources needed for advanced language technology applications. In this article, we describe the approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7102b964b80c23f104267993b1a90e7a
https://doi.org/10.1145/3146387
https://doi.org/10.1145/3146387
Most languages, especially in Africa, have fewer or no established part-of-speech (POS) tagged corpus. However, POS tagged corpus is essential for natural language processing (NLP) to support advanced researches such as machine translation, speech re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::410881a62016abd615e989efc9c46b1f
Publikováno v:
NAACL-HLT (Student Research Workshop)
Igbo is a low-resource language spoken by approximately 30 million people worldwide. It is the native language of the Igbo people of south-eastern Nigeria. In Igbo language, diacritics - orthographic and tonal - play a huge role in the distinguishing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0303347ad885c2f1322c706d8744e02d
https://doi.org/10.18653/v1/n18-4008
https://doi.org/10.18653/v1/n18-4008
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783030007935
TSD
TSD
NLP research on low resource African languages is often impeded by the unavailability of basic resources: tools, techniques, annotated corpora, and datasets. Besides the lack of funding for the manual development of these resources, building from scr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ba5deff03c61f50aa4c1948bd06f45c
https://doi.org/10.1007/978-3-030-00794-2_31
https://doi.org/10.1007/978-3-030-00794-2_31
Publikováno v:
Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications.
Properly written texts in Igbo, a low resource African language, are rich in both orthographic and tonal diacritics. Diacritics are essential in capturing the distinctions in pronunciation and meaning of words, as well as in lexical disambiguation. U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be7e5f42969306192e25ceabda34c1f
https://doi.org/10.18653/v1/w17-1907
https://doi.org/10.18653/v1/w17-1907