Natural Language Processing of Semitic Languages
Natural Language Processing of Semitic Languages

Author: Imed Zitouni

Publisher: Springer Science & Business

Published: 2014-04-22

Total Pages: 477

ISBN-13: 3642453589

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Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes, challenging syntactic constructions and various other phenomena that are less prevalent in other natural languages. These challenges call for unique solutions, many of which are described in this book. The 13 chapters presented in this book bring together leading scientists from several universities and research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers both statistical approaches to NLP, which are dominant across various applications nowadays and the more traditional, rule-based approaches, that were proven useful for several other application domains. We hope that this book will provide a "one-stop-shop'' for all the requisite background and practical advice when building NLP applications for Semitic languages.

Computational Nonlinear Morphology
Computational Nonlinear Morphology

Author: George Anton Kiraz

Publisher: Cambridge University Press

Published: 2001-12-17

Total Pages: 210

ISBN-13: 9780521631969

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By the late 1970s phonologists, and later morphologists, had departed from a linear approach for describing morphophonological operations to a nonlinear one. Computational models, however, remain faithful to the linear model, making it very difficult, if not impossible, to implement the morphology of languages whose morphology is nonconcatanative. Computational Nonlinear Morphology aims at presenting a computational system that counters the development in linguistics. It provides a detailed computational analysis of the complex morphophonological phenomena found in Semitic languages based on linguistically motivated models.

Language Processing and Acquisition in Languages of Semitic, Root-Based, Morphology
Language Processing and Acquisition in Languages of Semitic, Root-Based, Morphology

Author: Joseph Shimron

Publisher: John Benjamins Publishing

Published: 2003-04-28

Total Pages: 400

ISBN-13: 9027296685

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This book puts together contributions of linguists and psycholinguists whose main interest here is the representation of Semitic words in the mental lexicon of Semitic language speakers. The central topic of the book confronts two views about the morphology of Semitic words. The point of the argument is: Should we see Semitic words’ morphology as “root-based” or “word-based?” The proponents of the root-based approach, present empirical evidence demonstrating that Semitic language speakers are sensitive to the root and the template as the two basic elements (bound morphemes) of Semitic words. Those supporting the word-based approach, present arguments to the effect that Semitic word formation is not based on the merging of roots and templates, but that Semitic words are comprised of word stems and affixes like we find in Indo-European languages. The variety of evidence and arguments for each claim should force the interested readers to reconsider their views on Semitic morphology.

Challenges for Arabic Machine Translation
Challenges for Arabic Machine Translation

Author: Abdelhadi Soudi

Publisher: John Benjamins Publishing

Published: 2012-08-01

Total Pages: 167

ISBN-13: 9027273626

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This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.

Multilingual Natural Language Processing Applications
Multilingual Natural Language Processing Applications

Author: Daniel Bikel

Publisher: IBM Press

Published: 2012-05-11

Total Pages: 829

ISBN-13: 0137047819

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Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.

Computational Linguistics, Speech And Image Processing For Arabic Language
Computational Linguistics, Speech And Image Processing For Arabic Language

Author: Neamat El Gayar

Publisher: World Scientific

Published: 2018-09-18

Total Pages: 286

ISBN-13: 9813229403

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This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities
Formalising Natural Languages: Applications to Natural Language Processing and Digital Humanities

Author: Božo Bekavac

Publisher: Springer Nature

Published: 2021-03-03

Total Pages: 253

ISBN-13: 303070629X

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This book constitutes selected revised papers of the 14th International Conference, NooJ 2020, held Zagreb, Croatia, in June 2020. Due to the COVID-19 pandemic the conference was held online. NooJ is a linguistic development environment that allows linguists to formalize several levels of linguistic phenomena. NooJ provides linguists with tools to develop dictionaries, regular grammars, context-free grammars, context-sensitive grammars and unrestricted grammars as well as their graphical equivalent to formalize each linguistic phenomenon. The 20 full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in the following topics:​ Linguistic Formalization; Digital Humanities and Teaching with NooJ; Natural Language Processing Applications.

Natural Language Processing and Cognitive Science
Natural Language Processing and Cognitive Science

Author: Bernadette Sharp

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2015-03-10

Total Pages: 263

ISBN-13: 1501501313

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Peer reviewed articles from the Natural Language Processing and Cognitive Science (NLPCS) 2014 meeting in October 2014 workshop. The meeting fosters interactions among researchers and practitioners in NLP by taking a Cognitive Science perspective. Articles cover topics such as artificial intelligence, computational linguistics, psycholinguistics, cognitive psychology and language learning.

Analysis and Application of Natural Language and Speech Processing
Analysis and Application of Natural Language and Speech Processing

Author: Mourad Abbas

Publisher: Springer Nature

Published: 2023-02-22

Total Pages: 217

ISBN-13: 3031110358

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This book presents recent advances in NLP and speech technology, a topic attracting increasing interest in a variety of fields through its myriad applications, such as the demand for speech guided touchless technology during the Covid-19 pandemic. The authors present results of recent experimental research that provides contributions and solutions to different issues related to speech technology and speech in industry. Technologies include natural language processing, automatic speech recognition (for under-resourced dialects) and speech synthesis that are useful for applications such as intelligent virtual assistants, among others. Applications cover areas such as sentiment analysis and opinion mining, Arabic named entity recognition, and language modelling. This book is relevant for anyone interested in the latest in language and speech technology.

Turkish Natural Language Processing
Turkish Natural Language Processing

Author: Kemal Oflazer

Publisher: Springer

Published: 2018-07-20

Total Pages: 376

ISBN-13: 3319901656

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This book brings together work on Turkish natural language and speech processing over the last 25 years, covering numerous fundamental tasks ranging from morphological processing and language modeling, to full-fledged deep parsing and machine translation, as well as computational resources developed along the way to enable most of this work. Owing to its complex morphology and free constituent order, Turkish has proved to be a fascinating language for natural language and speech processing research and applications. After an overview of the aspects of Turkish that make it challenging for natural language and speech processing tasks, this book discusses in detail the main tasks and applications of Turkish natural language and speech processing. A compendium of the work on Turkish natural language and speech processing, it is a valuable reference for new researchers considering computational work on Turkish, as well as a one-stop resource for commercial and research institutions planning to develop applications for Turkish. It also serves as a blueprint for similar work on other Turkic languages such as Azeri, Turkmen and Uzbek.