International Journal of Computational Linguistics (IJCL)

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Computer Science Journals
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Important Dates
Paper Submission: November 30, 2010
Author Notification: January 01, 2011
Issue Publication: January / February
Journal: International Journal of Computational Linguistics (IJCL)
Volume: 1 Issue: 4
ISSN: 2180-1266

About IJCL
Computational linguistics is an interdisciplinary field dealing with the statistical and/or rule-based modeling of natural language from a computational perspective. Today, computational language acquisition stands as one of the most fundamental, beguiling, and surprisingly open questions for computer science. With the aims to provide a scientific forum where computer scientists, experts in artificial intelligence, mathematicians, logicians, cognitive scientists, cognitive psychologists, psycholinguists, anthropologists and neuroscientists can present research studies, International Journal of Computational Linguistics (IJCL) publish papers that describe state of the art techniques, scientific research studies and results in computational linguistics in general but on theoretical linguistics, psycholinguistics, natural language processing, grammatical inference, machine learning and cognitive science computational models of linguistic theorizing: standard and enriched context free models, principles and parameters models, optimality theory and researchers working within the minimalist program, and other approaches. IJCL is a peer review journal and a bi-monthly journal.

To build its International reputation, we are disseminating the publication information through Google Books, Google Scholar, Directory of Open Access Journals (DOAJ), Open J Gate, ScientificCommons, Docstoc and many more. Our International Editors are working on establishing ISI listing and a good impact factor for IJCL.

IJCL List of Topics
The realm of International Journal of Computational Linguistics (IJCL) extends, but not limited, to the following:

• Computational Linguistics
• Computational Models
• Computational Theories
• Corpus Linguistics
• Formal Linguistics-Theoretic and Grammar Induction
• Information Retrieval and Extraction
• Language Generation
• Language Learning
• Linguistics Modeling Techniques
• Linguistics Theories
• Machine Translation
• Models of Language Change and its Effect on Lingui
• Models that Address the Acquisition of Word-order
• Models that Combine Linguistics Parsing
• Models that Employ Statistical/probabilistic Gramm
• Models that Employ Techniques from machine learnin
• Natural Language Processing
• Quantitative Linguistics
• Speech Analysis/Synthesis
• Speech Recognition/Understanding
• Spoken Dialog Systems
• Web Information Extraction/Mining