The Oxford Handbook of Computational Linguistics
Oxford University Press, May 23, 2022 - Language Arts & Disciplines - 1312 pages
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others. The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries.
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algorithm analysis anaphora annotation Annual applications approach Association for Computational Automatic called Cambridge Chapter combination Communication Computational Linguistics Conference constructions context corpora corpus dependency developed dialogue dictionary discourse discussed distribution document domain English entailment et al evaluation event example expressions extraction Figure finite formal function given grammar human inference input instance International Conference John knowledge labels layer learning lexical lexicon Logic Machine Translation meaning measure Meeting methods Natural Language Processing Neural noun ontology Oxford pairs parsing performance phrase possible predicate Press probability problem Proceedings produce question reference relations represent representation requires resolution Resources role rules segment semantic sense sentence sequence similar specific speech Statistical string Stroudsburg structure syntactic tagging task Technology Theory transducer tree units University vectors verb weighted word Workshop