Advances In Natural Language Processing


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Advances in Natural Language Processing


Advances in Natural Language Processing

Author: Adam Przepiórkowski

language: en

Publisher: Springer

Release Date: 2014-09-05


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This book constitutes the refereed proceedings of the 9th International Conference on Advances in Natural Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised full papers and 20 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on morphology, named entity recognition, term extraction; lexical semantics; sentence level syntax, semantics, and machine translation; discourse, coreference resolution, automatic summarization, and question answering; text classification, information extraction and information retrieval; and speech processing, language modelling, and spell- and grammar-checking.

Advances in Natural Language Processing


Advances in Natural Language Processing

Author: Hrafn Loftsson

language: en

Publisher: Springer

Release Date: 2010-08-11


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This book constitutes the proceedings of the 7th International Conference on Advances in Natural Language Processing held in Reykjavik, Iceland, in August 2010.

Recent Advances in NLP: The Case of Arabic Language


Recent Advances in NLP: The Case of Arabic Language

Author: Mohamed Abd Elaziz

language: en

Publisher: Springer Nature

Release Date: 2019-11-29


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In light of the rapid rise of new trends and applications in various natural language processing tasks, this book presents high-quality research in the field. Each chapter addresses a common challenge in a theoretical or applied aspect of intelligent natural language processing related to Arabic language. Many challenges encountered during the development of the solutions can be resolved by incorporating language technology and artificial intelligence. The topics covered include machine translation; speech recognition; morphological, syntactic, and semantic processing; information retrieval; text classification; text summarization; sentiment analysis; ontology construction; Arabizi translation; Arabic dialects; Arabic lemmatization; and building and evaluating linguistic resources. This book is a valuable reference for scientists, researchers, and students from academia and industry interested in computational linguistics and artificial intelligence, especially for Arabic linguistics and related areas.