5th International Conference on Natural Language
and Speech Processing
The 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022) aims to attract contributions related to natural language and speech processing, in basic theories and applications as well. Regular and posters sessions will be organized, in addition to keynotes presented by senior international researchers.
The 3rd edition of NSURL workshop will be colocated with ICNLSP 2022.
Authors are invited to present their work relevant to the topics of the conference.
The following list includes the topics of ICNLSP 2022 but not limited to:
Signal processing, acoustic modeling.
Architecture of speech recognition system.
Deep learning for speech recognition.
Analysis of speech.
Paralinguistics in Speech and Language.
Pathological speech and language.
Speaker and language identification.
Phonetics, phonology and prosody.
Cognition and natural language processing.
Sentiment analysis and opinion mining.
Computational Social Web.
Arabic dialects processing.
Under-resourced languages: tools and corpora.
New language models.
Lexical semantics and knowledge representation.
Requirements engineering and NLP.
NLP tools for software requirements and engineering.
Knowledge management systems.
Data mining and information retrieval.
Papers must be submitted via the online paper submission system Easychair.
Each submitted paper will be reviewed by three program committee members.
Authors can use the ACL format: Latex or Doc.
Authors have the choice to submit their papers as a full or short paper.
Long papers consist of up to 8 pages of content + references.
Short papers, up to 4 pages of content + references.
30 August 2022 07 September 2022 (Deadline extended)
Notification of acceptance: 31 October 2022
Camera-ready paper due: 20 November 2022
Conference dates: 16, 17 Decemberber 2022
Workshop: NSURL 2022
The workshop on NLP Solutions for Under Resourced Languages NSURL will be held with ICNLSP 2022. The workshop aim to be a forum for solving NLP tasks concerning Arabic and its dialects and also under-resourced languages as African, Persian, etc.