The Oxford Handbook of Computational Linguistics (2nd edn)

Ruslan Mitkov’s research covers 250 publications on various topics of Natural Language Processing. He is author of the monograph Anaphora Resolution (Longman, 2002), Editor of The Oxford Handbook of Computational Linguistics (Oxford University Press), Executive Editor of the Journal of Natural Language Engineering (Cambridge University Press), Editor-in-Chief of the John Benjamins NLP book series, and has been programme chair and keynote speaker of many international conferences. He is Director of the Research Institute in Information and Language Processing at the University of Wolverhampton. In recognition of his outstanding research/professional achievements, he has twice been awarded the title of Doctor honoris causa.

Cite

Mitkov, Ruslan (ed.), The Oxford Handbook of Computational Linguistics , 2nd edn , Oxford Handbooks ( 2022; online edn, Oxford Academic , 1 Apr. 2014 ), https://doi.org/10.1093/oxfordhb/9780199573691.001.0001, accessed 4 Sept. 2024.

Abstract

This second edition of The Oxford Handbook of Computational Linguistics has been substantially revised, updated, and expanded. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as deep learning, word representation, semantic role labelling, 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 corpora; 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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