New Trends in Arabic Computational and Corpus Linguistics (NTACCL-2017)
Post – NTIT-2017 Workshop
April, 27, 2017
New Trends in Arabic Computational and Corpus Linguistics is post-NTIT 2017 workshop, organized by King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan. The NTACCL presentations will provide an overview of the state-of-the-art, explore new directions and emerging trends, exchange information regarding Arabic language processing and their applications, evaluation methodologies and tools, ongoing and planned activities. Workshop’s presentations will highlight new trends and advances in algorithms, resources, technologies and applications for processing text, speech and multimodalities. In addition to presentations of integrating speech and/or multimodal with written resources. The aim of this workshop is to bring together Jordanian researchers with a generic interest on Arabic Computational and Corpus Linguistics to raise awareness of different perspectives and practices, and to identify some common themes. Postgraduate students
Dr. Majdi Sawalha
King Abdullah II School for Information Technology, The University of Jordan.
Dr. Majdi Sawalha, King Abdullah II School for Information Technology, The University of Jordan.
Dr. Sawalha's research interests are in Computational Linguistics, Corpus Linguistics, Morphological and Syntactic Analysis, Semantic Analysis, Prosodic and Phonological Analysis, Text Data Mining, Lexicography and Machine Learning. As a graduate of the University of Leeds, he has played an active role in building Leeds’ reputation for Arabic Language Computing. Dr. Sawalha developed the SALMA toolkit for morpho-syntactic analysis of Classical and Modern Standard Arabic. He is also developing state-of-the-art Arabic-IPA transcription technology which is considered the main outcome of an EPSRC-funded "NLP working together with Arabic and Islamic Studies" project. Currently, I am building with graduate students under my supervision a semantic network for the Quran (the Quranic Arabic WordNet). He is collaborating in research that will automatically add punctuation marks to Arabic text where I apply machine learning techniques to build and automatic model to accomplish this task. Dr. Sawalha is a co-investigator a University of Jordan funded projects "Syntactic Parsing for the Qur'an" and corpus linguistic project "Arab Women in Western Press during Arab Spring: Image and Perception in Germany". He is also a co-investigator in an Arabic Language Academy funded project "Index for Arabic NLP research".
NTACCL Workshop schedule
|09:30 – 10:00||Registration|
|10:00 – 10:10||Welcome message from Organizers|
|10:10 – 11:00||Keynote Speech by Prof. Mohammed Zaki Khedher|
|11:00 – 12:30||Session 1: Jordanian Arabic NLP Researchers (5 presentations)|
|12:30 – 13:00||Coffee break|
|13:00 – 14:30||Session 2: Jordanian Arabic NLP Postgraduate Students|
|14:30 – 15:00||Discussion|
To register to the NTACCL workshop, please e-mail organizer (Dr. Majdi Sawalha) on email@example.com and provide your, name, e-mail address, phone and affiliation.
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