Analysing English-Arabic Machine Translation

Analysing English-Arabic Machine Translation PDF Author: Zakaryia Almahasees
Publisher: Routledge
ISBN: 1000472795
Category : Language Arts & Disciplines
Languages : en
Pages : 223

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Book Description
Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However, translation between distant languages constitutes a challenge for machines. Therefore, translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains, including the United Nation (UN), the World Health Organization (WHO), the Arab League, Petra News Agency reports, and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography, lexis, grammar, and semantics at the entire-text level and in terms of lexis, grammar, and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology.

Analysing English-Arabic Machine Translation

Analysing English-Arabic Machine Translation PDF Author: Zakaryia Almahasees
Publisher: Routledge
ISBN: 1000472795
Category : Language Arts & Disciplines
Languages : en
Pages : 223

Get Book Here

Book Description
Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However, translation between distant languages constitutes a challenge for machines. Therefore, translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains, including the United Nation (UN), the World Health Organization (WHO), the Arab League, Petra News Agency reports, and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography, lexis, grammar, and semantics at the entire-text level and in terms of lexis, grammar, and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology.

Challenges for Arabic Machine Translation

Challenges for Arabic Machine Translation PDF Author: Abdelhadi Soudi
Publisher: John Benjamins Publishing
ISBN: 9027273626
Category : Language Arts & Disciplines
Languages : en
Pages : 167

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Book Description
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.

Thinking Arabic Translation

Thinking Arabic Translation PDF Author: James Dickins
Publisher: Routledge
ISBN: 1136400931
Category : Foreign Language Study
Languages : en
Pages : 270

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Book Description
This title is a comprehensive and practical 20-week course in translation method offering a challenging approach to the acquisition of translation skills.

Arabic Computational Morphology

Arabic Computational Morphology PDF Author: Abdelhadi Soudi
Publisher: Springer Science & Business Media
ISBN: 1402060467
Category : Language Arts & Disciplines
Languages : en
Pages : 306

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Book Description
This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. The book provides a showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics. It covers knowledge-based and empirical-based approaches.

Machine Translation

Machine Translation PDF Author: D. Arnold
Publisher: Wiley-Blackwell
ISBN:
Category : Machine translating
Languages : en
Pages : 264

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Book Description


A Reference Grammar of Modern Standard Arabic

A Reference Grammar of Modern Standard Arabic PDF Author: Karin C. Ryding
Publisher: Cambridge University Press
ISBN: 113944333X
Category : Foreign Language Study
Languages : en
Pages : 734

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Book Description
A Reference Grammar of Modern Standard Arabic is a comprehensive handbook on the structure of Arabic. Keeping technical terminology to a minimum, it provides a detailed yet accessible overview of Modern Standard Arabic in which the essential aspects of its phonology, morphology and syntax can be readily looked up and understood. Accompanied by extensive carefully-chosen examples, it will prove invaluable as a practical guide for supporting students' textbooks, classroom work or self-study, and will also be a useful resource for scholars and professionals wishing to develop an understanding of the key features of the language. Grammar notes are numbered for ease of reference, and a section is included on how to use an Arabic dictionary, as well as helpful glossaries of Arabic and English linguistic terms and a useful bibliography. Clearly structured and systematically organised, this book is set to become the standard guide to the grammar of contemporary Arabic.

Advanced English-Arabic Translation

Advanced English-Arabic Translation PDF Author: El Mustapha Lahlali
Publisher: Edinburgh University Press
ISBN: 0748677968
Category : Language Arts & Disciplines
Languages : en
Pages : 225

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Book Description
This clearly structured guide will help learners who already have a basic grasp of Arabic to hone their translation skills. The texts chosen for translation exercises have been carefully selected from a variety of authentic, contemporary texts across a broad range of genres.

Translation Quality Assessment

Translation Quality Assessment PDF Author: Joss Moorkens
Publisher: Springer
ISBN: 3319912410
Category : Computers
Languages : en
Pages : 292

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Book Description
This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers. The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.

Introduction to Arabic Natural Language Processing

Introduction to Arabic Natural Language Processing PDF Author: Nizar Y. Habash
Publisher: Springer Nature
ISBN: 3031021398
Category : Computers
Languages : en
Pages : 170

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Book Description
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation

Intelligent Natural Language Processing: Trends and Applications

Intelligent Natural Language Processing: Trends and Applications PDF Author: Khaled Shaalan
Publisher: Springer
ISBN: 3319670565
Category : Technology & Engineering
Languages : en
Pages : 763

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Book Description
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging – and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.