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Conference Information

Full Title: Arabic Natural Language Processing

Short Title: ANLP - CIST14
Location: Tetuan-Chefchaouen, Morocco
Start Date: 21-Oct-2014 - 22-Oct-2014
Contact: Vito Pirrelli
Meeting Email: click here to access email
Meeting URL:
Meeting Description: Language technologies are instrumental to millions of people who use them every day without even being aware of them. Systems like Google Translate and web search engines rely more and more on levels of linguistic information automatically provided through NLP-based tools operating in the background. This development, we believe, has deeply affected the way we think about language from a scientific perspective. Linguists have progressively turned the focus of their research from abstract structural properties of language to the dynamics of its usage in every-day communicative contexts.

There is increasing awareness that language technologies and computational models of language processes not only shed considerable light on traditional issues in language and literary studies but may also lead to a radical reconceptualization of them. Theoretical models of aspects of language usage such as language acquisition, lexical access, speech recognition, text translation, text analysis, ontology extraction, reading and optical character recognition can be put to a rigorous empirical test through computer-based implementations of some of their assumptions. In this perspective, computer technologies prove to provide an empirical middle ground where interdisciplinary insights coming from different theoretical standpoints and scientific domains can be empirically assessed and possibly integrated.

This special session is intended to explore and debate the contribution of computational language models to a better understanding of linguistic, psycholinguistic, sociolinguistic, historical and literary issues of the Arabic language and culture. We particularly welcome contributions addressing fundamental aspects of Arabic NLP, communication technology, language resources and automated text analysis by looking at their implications for both state-of-the-art language technologies and Arabic language knowledge at large.
Linguistic Subfield: Computational Linguistics; General Linguistics; Text/Corpus Linguistics
Subject Language: Arabic, Standard
LL Issue: 25.891

This is a session of the following meeting:
3rd International IEEE Colloquium on Information Science and Technology

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