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Computational Linguistics

ISSN: 0891-2017eISSN: 1530-9312
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SIGAPS Level A
Publisher: Association for Computational Linguistics
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Language and LinguisticsComputer Science(all)Artificial IntelligenceComputer Science ApplicationsLinguistics and Language

Computational Linguistics is the premiere publication devoted exclusively to the design and analysis of natural language processing systems. From this unique open access quarterly, university and industry linguists, computational linguists, artificial intelligence (AI) investigators, cognitive scientists, speech specialists, and philosophers get information about computational aspects of research on language, linguistics, and the psychology of language processing and performance.

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Hybrid Journal

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Transformative Agreement

Select the open access publishing option with a https://creativecommons.org/licenses/by/2.0/ license to ensure compliance.

Transformative Journal

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Full Open Access

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Self-Archiving

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Computational Visual Media

ISSN: 2096-0433eISSN: 2096-0662
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SIGAPS Level A
Publisher: Tsinghua University Press
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Artificial IntelligenceComputer Graphics and Computer-Aided DesignComputer Vision and Pattern Recognition
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Transformative Journal

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Full Open Access

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Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

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Computer Science Journal

ISSN: 1508-2806
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Publisher: AGH University of Science and Technology
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Computer Science(all)Computer Science (miscellaneous)Artificial IntelligenceComputational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and CommunicationsComputer Vision and Pattern RecognitionModelling and Simulation
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Hybrid Journal

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Transformative Agreement

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Transformative Journal

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Full Open Access

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Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

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Computer Speech & Language

ISSN: 0885-2308
SIGAPS Level C
Publisher: Elsevier
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Computer Science(all)Artificial IntelligenceHuman-Computer InteractionSoftwareTheoretical Computer Science

Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.Research Areas IncludeAlgorithms and models for speech recognition and synthesisNatural language processing for speech understanding and generationStatistical computational linguisticsComputational models of discourse and dialogueInformation retrieval, extraction and summarizationSpeaker and language recognitionComputational models of speech production and perceptionSignal processing for speech analysis, enhancement and transformationEvaluation of human and computer system performanceBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

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Compliant Options - Provided by Journal Checker Tool

Hybrid Journal

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Transformative Agreement

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Transformative Journal

Select the open access publishing option with a CC BY license to ensure compliance.

Full Open Access

Go ahead and submit. Remember to select a CC BY license to ensure compliance.

Self-Archiving

Following acceptance, please deposit your author accepted manuscript in a repository without embargo.

Self-Archiving using Rights Retention

Your funder’s grant conditions set out how you can retain sufficient rights to self-archive the Author Accepted Manuscript in any OA repository. Publishing fees do not apply with this route.

Unfortunately, this journal has no Plan-S compliant options - Provided by Journal Checker Tool

Institutional Agreement

Tous les auteurs correspondants des Hospices Civils de Lyon ont la possibilité de publier leurs articles de recherches en Open Access dans cette revue. Pour bénéficier de cette prise en charge, déclarez les "Hospices Civils de Lyon" dans votre affiliation principale et utilisez votre adresse mail "@chu-lyon.fr" lors de la soumission de votre article.

ATTENTION:

  • Si l'éditeur vous demande de sélectionner la licence applicable, privilégiez la licence CC-BY à toutes autres.
  • Pour les revues non éligibles, dont The Lancet et les revues Cell Press, ou en cas d’épuisement du stock de droits, la publication en accès ouvert immédiat devient payante mais de manière optionnelle ; le tarif bénéficie dans ce cas d’une remise de 10%.
  • Les articles publiés en accès ouvert immédiat au titre de l’accord peuvent être déposés dans leur version finale éditeur dans une archive ouverte, par exemple dans HAL-HCL.
  • Dans le cas des articles sous abonnement, il est permis par la Loi République numérique de déposer dans une archive ouverte le manuscrit auteur accepté d’un article et de le diffuser avec un embargo de 6 mois (sciences dures) ou 12 mois (SHS).

Si vous rencontrez des difficultés ou si vous avez des questions, contactez la Documentation Centrale sur sa.documentationcentrale@chu-lyon.fr ou au 04-72-11-29-99 (31-29-99)