Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Inès Zribi"'
Autor:
Inès Zribi, Lamia Hadrich Belguith
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 8, Iss 4, Pp 318-335 (2022)
Intelligent systems powered by Artificial Intelligence techniques have been massively proposed to help humans in various tasks. The intelligent personal assistant (IPA) is one of these smart systems. In this paper, we present an attempt to create an
Externí odkaz:
https://doaj.org/article/bc6fb53fe003411ca08535db6cd01cc2
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 8, Iss 4, Pp 370-387 (2022)
In written text, orthographic noise is a common concern for NLP, especially when operating social network comments and raw documents. This is mainly due to its orthographic conventions and morphological ambiguity. We propose to automatically normaliz
Externí odkaz:
https://doaj.org/article/7c78d7cd5c5641709c5e96085e0da766
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 2, Pp 147-155 (2017)
In this paper, we propose a method to disambiguate the output of a morphological analyzer of the Tunisian dialect. We test three machine-learning techniques that classify the morphological analysis of each word token into two classes: true and false.
Externí odkaz:
https://doaj.org/article/493ef502d1074491b17cecc0c7f6dc4e
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing.
Tokenization represents the way of segmenting a piece of text into smaller units called tokens. Since Arabic is an agglutinating language by nature, this treatment becomes a crucial preprocessing step for many Natural Language Processing (NLP) applic
The aim of this research is to better understand public perceptions of COVID-19 pandemic patterns and to identify key themes of concern expressed by Tunisian dialect social media users throughout the epidemic. We collected around 23K comments written
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb526fe5fe460082fc79f22bfb4f44dc
https://doi.org/10.21203/rs.3.rs-2321298/v1
https://doi.org/10.21203/rs.3.rs-2321298/v1
Publikováno v:
Language Resources and Evaluation. 56:357-385
Sentence boundary detection (SBD) is an essential step for a very large number of natural language processing applications such as parsing, information retrieval, automatic summarization, machine translation, etc. In this paper, we tackle the problem
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031165634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0560771e4aebce9831d8edabc8c0706b
https://doi.org/10.1007/978-3-031-16564-1_5
https://doi.org/10.1007/978-3-031-16564-1_5
Publikováno v:
Research in Computing Science. 90:123-135
Publikováno v:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.153-163, 2013, ⟨10.1007/978-3-642-37247-6_13⟩
Computational Linguistics and Intelligent Text Processing ISBN: 9783642372469
CICLing (1)
BASE-Bielefeld Academic Search Engine
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp.153-163, 2013, ⟨10.1007/978-3-642-37247-6_13⟩
Computational Linguistics and Intelligent Text Processing ISBN: 9783642372469
CICLing (1)
BASE-Bielefeld Academic Search Engine
Transcribing spoken Arabic dialects is an important task for building speech corpora. Therefore, it is necessary to follow a definite orthography and a definite annotation to transcribe speech data. In this paper, we present OTTA, Orthographic Transc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::765d929b59281d149e704bb7eaaa12ec
https://hal.science/hal-02869876
https://hal.science/hal-02869876
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c7da25c045643c488955ba2e67c6373
http://www.scopus.com/inward/record.url?eid=2-s2.0-85036460036&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85036460036&partnerID=MN8TOARS