The International Conference on Arabic Language Processing ICALP2019 (ex CITALA) is aimed to be one of the most important and leading conference on Arabic NLP. ICALP2019 is the 7th edition (information about the previous editions are mentioned at: ICALP2017), all branches of NLP related to Arabic or Semitic languages are welcomed. Arabic spoken or text language processing are the main kernel of ICALP2019. The conference will emphasize on all the approaches from theoretical models to industrial applications. ICALP2019 will be held at Loria (University of Lorraine), which is situated in Nancy on the east part of France near the border of Luxembourg and Germany. We look forward to welcome you to a scientifically inspiring event and we hope that ICALP2019 will be a highly positive scientific experience for all the participants. Two keynote speakers Dr Mona Diab (Department of Computer Science, George Washington University) and Dr Albert Gatt (Institute of Linguistics and Language Technology, University of Malta.) will share their expertise with the aim of exposing participants to a wide spectrum of research and applications, to foster cross-pollination of research ideas and interests in Arabic Language Processing and related applications. As in the previous year (ICALP – CITALA 2017), we aim, for accepted papers, to be published by Springer. All the submitted papers will be reviewed by three experts from the domain. Only the 30% best papers will be selected for publication by Springer. Participants are invited to submit original communications in all the areas of Arabic NLP. Few topics of the conference are given below.

Thanks to the Google's sponsoring two scholarships (including the Flight ticket, the accomodation and the registration fees) are proposed to Phd or Master students to attend the conference. A short CV and a motivation letter are requested to apply to this scholarship (please contact icalp2019@inria.fr)

Topics
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Arabic dialect processing
Automatic speech recognition
Building ontologies
Code Switching phenomena
Comparative Linguistic Studies
Cross-Language Applications
Deep Learning for Arabic applications
Digital Humanities
End-to-End DNN
Generation and Analysis
Human Machine-Dialogue
Information retrieval on Social Networks
Linguistic Resources for Arabic NLP Applications
Machine Translation
Multi-Word Term Extraction
Named Entity Recognition
Opining Mining and Sentiment Analysis
Optical Character Recognition
Paraphrasing and Textual Entailment
Question/Answering Systems
Semitic languages
Spell-check and automatic corrections
Study of Linguistic Phenomena
Text Categorization and Clustering
Text Summarization
Word Sense Disambiguation

Pr K. Smaïli
Loria University of Lorraine - France