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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."

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Journal Information

Title: International Journal of Computational Linguistics and Applications
Publisher: Bahri Publications
Description: Computational linguistics is an interdisciplinary field dealing with statistical and/or rule-based modeling of natural language from a computational perspective. The Journal, International Journal of Computational Linguistics and Applications – IJCLA (ISSN 0976-0962) is an internationally peer-reviewed academic journal that covers all topics related to computational linguistics and text processing, i.e., whatever helps, will help eventually, or might help computers meaningfully deal with language data. It is a forum for exchange of opinions between scientists working in different areas of the growing field of computational linguistics (CL) and natural language processing (NLP). Specific areas of interest include, but are not limited to, the following topics, provided that the work is presented in computer-related or formal description aspects:

- Computational linguistics theories and formalisms - Representation of linguistic knowledge - Statistical methods in computational linguistics - Natural language processing - Document processing - Lexical resources - Corpus linguistics - Computational morphology - Part-of-speech tagging - Computational syntax - Parsing - Grammar induction - Computational semantics - Computational semiotics - Discourse models - Ambiguity resolution - Word sense disambiguation - Anaphora resolution - Recognizing textual entailment - Text generation - Natural language interfaces - Machine translation - Document classification - Information retrieval - Information extraction - Question answering - Text mining - Summarization - Plagiarism detection - Forensic linguistics - Spell checking - Semantic web

ISSN: 0976-0962
Linguistic Field(s): Computational Linguistics