Analysing English-Arabic Machine Translation

Analysing English-Arabic Machine Translation PDF

Author: Zakaryia Almahasees

Publisher: Routledge

Published: 2021-11-30

Total Pages: 184

ISBN-13: 1000472795

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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 Al Mahasees

Publisher:

Published: 2021

Total Pages: 201

ISBN-13: 9781032042275

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"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 English-Arabic 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

Published: 2012

Total Pages: 166

ISBN-13: 9027249954

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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.

Text Linguistics and Translation

Text Linguistics and Translation PDF

Author: Ismat Al-Massri

Publisher: Lulu.com

Published: 2013-03-21

Total Pages: 346

ISBN-13: 1291360417

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The key purpose of this work is to examine the interrelationship between the field of text linguistics and translation with specific reference to computer translation. The question arises whether machine translation can ever be a practicable and reliable substitute for human translators. Based on this premise, this study assesses the effectiveness of machine translation software in its ability to translate the nuances of text linguistics from a source language to a target language. Following a literature review of text linguistics covering a number of textual analysis models and translation studies including machine translation, the primary research utilises a qualitative research methodology by means of text-based assessment. Three text samples are drawn from each of the following six text linguistic categories: register, pragmatics, semiotics, text type, genre and discourse. Using three leading Arabic translation software programmes the text samples are subjected to a comparative evaluation.

A Reference Grammar of Modern Standard Arabic

A Reference Grammar of Modern Standard Arabic PDF

Author: Karin C. Ryding

Publisher: Cambridge University Press

Published: 2005-08-25

Total Pages: 734

ISBN-13: 113944333X

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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.

Thinking Arabic Translation

Thinking Arabic Translation PDF

Author: James Dickins

Publisher: Routledge

Published: 2013-06-17

Total Pages: 270

ISBN-13: 1136400931

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

Translation between English and Arabic

Translation between English and Arabic PDF

Author: Noureldin Abdelaal

Publisher: Springer Nature

Published: 2020-02-18

Total Pages: 153

ISBN-13: 3030343324

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This textbook provides a comprehensive resource for translation students and educators embarking on the challenge of translating into and out of English and Arabic. Combining a solid basis in translation theory with examples drawn from real texts including the Qu’ran, the author introduces a number of the problems and practical considerations which arise during translation between English and Arabic, equipping readers with the skills to recognise and address these issues in their own work through practical exercises. Among these considerations are grammatical, semantic, lexical and cultural problems, collocations, idioms and fixed expressions. With its coverage of essential topics including culturally-bound terms and differences, both novice and more experienced translators will find this book useful in the development of their translation practice.

Arabic Computational Morphology

Arabic Computational Morphology PDF

Author: Abdelhadi Soudi

Publisher: Springer Science & Business Media

Published: 2007-10-01

Total Pages: 306

ISBN-13: 1402060467

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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.

Statistical Machine Translation

Statistical Machine Translation PDF

Author: Philipp Koehn

Publisher: Cambridge University Press

Published: 2010

Total Pages: 447

ISBN-13: 0521874157

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The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

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