7th International Conference on Natural Language

and Speech Processing

October 19-20, 2024

Trento, Italy


Welcome to ICNLSP 2024

We are delighted to invite you to ICNLSP 2024, the 7th edition of the International Conference on Natural Language and Speech Processing, which will be held at University of Trento from October 19th to 20th, 2024.

As the previous versions, ICNLSP 2024 offers the opportunity for attendees (researchers, academics and students, and industrials) to share their ideas and to connect to each other and make them up to date on the ongoing researches in the field.

We look forward to welcoming you to ICNLSP 2024. If you need any additional information, please e-mail us at: icnlsp(at)gmail(dot)com.   



The 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)  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.Authors are invited to present their work relevant to the topics of the conference.

The following list includes the topics of ICNLSP 2024 but not limited to:

  • Signal processing, acoustic modeling.
  • Speech recognition (Architecture, search methods, lexical modeling, language modeling, language model adaptation, multimodal systems, applications in education and learning, zero-resource speech recognition, etc.).
  • Speech Analysis.
  • Paralinguistics in Speech and Language (Perception of paralinguistic phenomena, analysis of speaker states and traits, etc.).
  • Spoken Dialog Systems and Conversational Analysis
  • Speech Translation.
  • Speech synthesis.
  • Speaker verification and identification.
  • Language identification
  • Speech coding.
  • Speech enhancement
  • Speech intelligibility
  • Speech Perception
  • Speech Production
  •  Brain studies on speech
  • Phonetics, phonology and prosody.
  • Speech and hearing disorders.
  • Paralinguistics of pathological speech and language.
  • Speech technology for disordered speech/hairing.
  • Cognition and natural language processing.
  • Machine translation. 
  • Text categorization.
  • Summarization.
  • Sentiment analysis and opinion mining.
  • Computational Social Web.
  • Arabic dialects processing.
  • Under-resourced languages: tools and corpora.
  • Large language models.
  • Arabic OCR.
  • NLP tools for software requirements and engineering.
  • Knowledge fundamentals.
  • Knowledge management systems.
  • Information extraction.
  • Data mining and information retrieval.
  • Lexical semantics and knowledge representation.
  • Requirements engineering and NLP.
  • NLP for Arabic heritage documents.



Papers must be submitted via the link: https://cmt3.research.microsoft.com/ICNLSP2024/ 

Each submitted paper will be reviewed by three program committee members.The reviewing process is double-blind. Authors can use the ACL formatLatex or Word.
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.


Important dates

Submission deadline: 30 June 2024 11:59 PM (GMT)
Notification of acceptance: 15 September 2024
Camera-ready paper due: 25 September 2024
Conference dates: 19, 20 October 2024



1- All accepted papers will be published in ACL Anthology.

 2- Selected papers will be published (after extension) in:

2-a- A special issue of Machine Learning and Knowledge Extraction Journal (MAKE), indexed in Web of Science, Scopus, etc.


2-b- Signals and Communication Technology (Springer), indexed in Scopus and zbMATH.






ICNLSP Committee


General chair

      Dr. Mourad Abbas           



     Dr. Abed Alhakim Freihat


Program Committee

  • Ahmed AbdelaliQCRI, Qatar.
  • Hend Al-Khalifa, King Saud University, Saudi Arabia.
  • Muhammad Al-Qurishi, Elm, Saudi Arabia.
  • Mehmet Fatih Amasyalı, Yildiz Technical University, Turkey.
  • Yuan An, Drexel University, USA.
  • Fayssal Bouarourou, University of Strasbourg, France.
  • Markus Brückl, TU Berlin, Germany.
  • Hadda Cherroun, Amar Telidji University, Algeria.
  • Gérard Chollet, CNRS, France.
  • Dirk Van Compernolle, KU Leuven, Belgium.
  • Najim Dehak, Johns Hopkins University, USA.
  • Ashraf Elnagar, University of Sharjah, UAE.
  • Abed Alhakim Freihat, University of Trento, Italy.
  • Munir Georges, Technische Hochschule Ingolstadt, Germany.
  • Ahmed Guessoum, USTHB, Algeria.
  • Kais Haddar, Faculty of Sciences of Sfax, Tunisia.
  • Valia Kordoni, Humboldt University, Germany.
  • Eric Laporte, Gustave Eiffel University, France.
  • Mohamed Lichouri, USTHB, Algeria.
  • Mohammed Mediani, UAE University, UAE.
  • Alexis Neme, UPEM, France.
  • Pascal Perrier, Université Grenoble Alpes, France.
  • Aishwarya Reganti, Amazon Alexa AI.
  • Axel Roebel, IRCAM, France.
  • Hassan Satori, Sidi Mohammed Ben Abbdallah University, Morocco.
  • Tim Schlippe, Silicon Surfer, Germany.
  • Nasredine Semmar, CEA, France.
  • Deven Shah, Microsoft, USA.
  • Rudolph Sock, University of Strasbourg, France.
  • R. V. Swaminathan, Amazon, USA.
  • Irina Temnikova, Big Data for Smart Society Institute, Bulgaria.
  • Jan Trmal, Johns Hopkins University, USA.
  • Rodrigo Wilkens, UCLouvain, Belgium
  • Fayçal Ykhlef, CDTA, Algeria.
  • Wajdi Zaghouani, HBKU, Qatar.