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The conference is on Computational Linguistics, a part of Artificial Intelligence More specifically, computational linguistics applied to a specific language, Arabic one of the world s major languages Creation of computational tools for automatic analysis of Arabic language has special importance in the context of security and fighting terrorism using computing technologies such as automatic translation, automatic analysis of social networks, automatic keyword spotting, etc.
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This textbook examines empirical linguistics from a theoretical linguist's perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.
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This volume brings together revised versions of a selection of papers presented at the Second International Conference on "Recent Advances in Natural Language Processing" (RANLP'97) held in Tzigov Chark, Bulgaria, September 1997. The aim of the conference was to give researchers the opportunity to present new results in Natural Language Processing (NLP) based both on traditional and modern theories and approaches. The conference received substantial interest - 167 submissions from more than 20 countries. The best papers from the proceedings were selected for this volume, in the hope that they reflect the most significant and promising trends (and successful results) in NLP.The contributions have been grouped according to the following topics: tagging, lexical issues and parsing, word sense disambiguation and anaphora resolution, semantics, generation, machine translation, and categorisation and applications. The volume contains an extensive index.
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This volume is composed of 22 peer-reviewed contributions selected from among the 52 presentations submitted for the 2014 International NooJ Conference held at the University of Sassari, Italy.NooJ is a linguistic development environment that allows linguists to formalize a wide range of linguistic phenomena, and then test, adapt, share and accumulate each elementary description so as to build linguistic "modules", that is, structured libraries of linguistic resources. NooJ is also used as a corpus processor that can launch sophisticated queries over large corpora of texts, in order to produce
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Speech Processing Technology and Applications.
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