LINGUIST List 23.617 Mon Feb 06 2012 Calls: Comp Ling/ International Journal of Computational Ling... (Jrnl) Editor for this issue: Brent Miller <brentlinguistlist.org> LINGUIST is pleased to announce the launch of an exciting new feature: Easy Abstracts! Easy Abs is a free abstract submission and review facility designed to help conference organizers and reviewers accept and process abstracts online. Just go to: http://www.linguistlist.org/confcustom, and begin your conference customization process today! With Easy Abstracts, submission and review will be as easy as 1-2-3! Directory         1.     J. Stewart , International Journal of Computational Linguistics (IJCL) Message 1: International Journal of Computational Linguistics (IJCL) Date: 06-Feb-2012 From: J. Stewart <cfpcscjournals.org> Subject: International Journal of Computational Linguistics (IJCL) E-mail this message to a friend Full Title: International Journal of Computational Linguistics (IJCL) Call Deadline: 31-Mar-2012 Computer Science Journals (CSC Journals) invites researchers, editors, scientists & scholars to publish their scientific research papers in an International Journal of Computational Linguistics (IJCL) Volume 3, Issue 1. 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. CSC Journals anticipate and invite papers on any of the following topics: Comparative Surveys that Critique Previous Reports 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 Linguistics Models that Address the Acquisition of Word-order Models that Combine Linguistics Parsing Models that Employ Statistical/probabilistic Grammar Models that Employ Techniques from machine learning Natural Language Processing Quantitative Linguistics Speech Analysis/Synthesis Speech Recognition/Understanding Spoken Dialog Systems Web Information Extraction/Mining Important Dates - IJCL CFP - Volume 3, Issue 1. Paper Submission: March 31, 2012 Author Notification: May 15, 2012 Issue Publication: June 2012 For complete details about IJCL archives publications, abstracting/indexing, editorial board and other important information, please refer to IJCL homepage (http://www.cscjournals.org/csc/journals/IJCL/description.php?JCode=IJCL). We look forward to receive your valuable papers. If you have further questions please do not hesitate to contact us at cscpresscscjournals.org. Our team is committed to provide a quick and supportive service throughout the publication process. A complete list of journals can be found at http://www.cscjournals.org/csc/bysubject.php Read more issues|LINGUIST home page|Top of issue Page Updated: 06-Feb-2012       About LINGUIST    |   Contact Us       While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed on its pages, it cannot vouch for their contents.