ICNLSP 2023 :  submission deadline  extended

09 September 2023   11:59 PM (GMT)

ICNLSP 

ICNLSP (the International Conference on Natural Language and Speech Processing) is an opportunity to get acquainted with the latest research. Basically, in the field of natural language and speech processing. The targeted audience are particularly: researchers, professors, students and industrials.

One of the most important reasons that must be remembered behind creating this series, is to present a high level of scientific content. We hope this content will be significantly similar to the level of well-known international events such as: INTERSPEECH, ICASSP, EMNLP, NAACl, ACL, EAMT, COLING, etc.

Accordingly, we focus on promoting research in the field of Natural language processing, by attracting advanced works. 

With this in mind, and due to the rapid development of research in this field, we always seek to invite eminent scholars to give valuable lectures. The aim is to explain and clarify the latest and most advanced language technologies.  

 

Publication and Indexing

     

     

 

Keynote speakers

ICNLSP 2015

Stephan Vogel QCRI, Qatar	Jean Paul Haton Lorraine Univ., France
Speech Translation: from Research to Applications	Present and Future of Automatic Speech Recognition

ICNLSP 2018

Gérard Chollet Intelligent Voice, UK	Djamel Bouchaffra CDTA, Algeria
Privacy Preserving Speech Processing	Artificial Intelligence and Machine Learning Challenges

ICNLSP 2019

Fausto Giunchiglia University of Trento, Italy	Preslav Nakov QCRI, Qatar
One world – seven thousand languages	Detecting the “Fake News” before they were even written

ICNLSP 2021

Valia Kordoni University of Humboldt	Ahmed Abdelali QCRI	Hussein Al-Natsheh Beyond Limits	Kareem Darwish aIxplain
Figurative Language Analysis	Understanding Arabic Transformer Models	AI Technology Commercialization: From Research to Product Innovation	Bring All Your Features: Arabic Diacritic Recovery Using a Feature-Rich Recurrent Neural Model

ICNLSP 2022

Eric Laporte Gustave Eiffel University France	Jan Niehues Karlsruhe Institute of Technolgy Germany	Ahmed Ali QCRI Qatar
Hybrid natural language processing in the deep learning era	Plug-and-Play Abilities for Neural Machine Translation	Multilingual and Code-Switching Speech Recognition