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Arabic Machine Translation

Turker Assisted Paraphrasing for English Arabic Machine Translation

Turker Assisted Paraphrasing for English Arabic Machine Translation

... This paper describes a semi-automatic para- phrasing task for English-Arabic machine translation conducted using Amazon Me- chanical Turk. The method for automatically extracting paraphrases is ...

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Elissa: A Dialectal to Standard Arabic Machine Translation System

Elissa: A Dialectal to Standard Arabic Machine Translation System

... the translation quality of a statistical MT system that is trained on mostly MSA-to-English parallel ...Translate Arabic-English SMT ...reference translation to English, and its Google Translate ...

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Building an Arabic Machine Translation Post Edited Corpus: Guidelines and Annotation

Building an Arabic Machine Translation Post Edited Corpus: Guidelines and Annotation

... This framework includes two major components: The an- notation management interface which is used to assist the lead annotator in the general work-flow process, it allows the annotation manager easily upload and organize ...

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Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus

Machine Translation Experiments on PADIC: A Parallel Arabic DIalect Corpus

... Parallel Arabic DIalect Corpus we built from scratch, then we conducted experiments on cross- dialect Arabic machine ...fact, Arabic dialects in Arab world in general are used in daily life ...

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Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers

Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers

... The focus of our conference was to use parallel corpora for machine translation. Recent experimentation has shown that the performance of SMT systems varies greatly with the source language. In this ...

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Morphological Modeling for Machine Translation of English Iraqi Arabic Spoken Dialogs

Morphological Modeling for Machine Translation of English Iraqi Arabic Spoken Dialogs

... does not require target-side annotation tools, an ad- vantage when dealing with under-resourced spoken dialects. There are, however, several potential issues with this approach. First, introducing tags fragments the ...

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Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation

Comparing Pipelined and Integrated Approaches to Dialectal Arabic Neural Machine Translation

... On the other hand, dialect identification is an ac- tive area of research, and an alternative approach is to design a dialect-specific model for each di- alect. One could simply train a system on dialect data alone. ...

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Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing Impaired Community

Arabic Text to Arabic Sign Language Translation System for the Deaf and Hearing Impaired Community

... ArSL translation system. Therefore, ArSL translation must be done through close collaboration with the deaf commu- nity and signing ...translates Arabic texts into deaf and hearing-impaired peoples’ ...

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Translating Overactive Bladder Questionnaires in Moroccan Arabic Dialect

Translating Overactive Bladder Questionnaires in Moroccan Arabic Dialect

... rigorous translation is essential to produce a questionnaire about the quality of life asso- ciated with health and that could be used in new languages and cultures for which it is ...

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Syntactic Reordering for English Arabic Phrase Based Machine Translation

Syntactic Reordering for English Arabic Phrase Based Machine Translation

... IBM Arabic-English aligned corpus (IBMAC) (Itty- cheriah and Roukos, ...146K Arabic words) are used to learn rule, while the rest are used for development ...

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Urdu to English Machine Translation using Bilingual Evaluation Understudy

Urdu to English Machine Translation using Bilingual Evaluation Understudy

... Urdu ranks 19th among 7,105 languages spoken in the world [1]. This is mostly spoken in the South Asia and in some parts of the Western world. Urdu is the national language of Pakistan. It is used as the medium of ...

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A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

A Direct Syntax Driven Reordering Model for Phrase Based Machine Translation

... This paper presents a direct word reordering model with novel syntax-based features for sta- tistical machine translation. Reordering models address the problem of reordering source lan- guage into the word ...

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A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages

A Parallel Corpus for Evaluating Machine Translation between Arabic and European Languages

... on Arabic-Italian MT, translated a NIST MT eval dataset (Arabic to four English ref- erences) to French and ...For Arabic MT, the past 10 years have witnessed a lot of interest in translating from ...

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Machine Translation of Arabic Dialects

Machine Translation of Arabic Dialects

... alectal Arabic text, including machine translation, is somewhat ...Dialectal Arabic MT has focused on normalizing dialectal in- put words into MSA equivalents before translating to English, ...

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Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation

Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation

... On the other hand, there are approaches which use machine learning techniques. In Haque et al. (2009), authors have proposed syntactic and lex- ical context features, for integrating information about the ...

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Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT

Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT

... for translation models, that model choice is a tradeoff between expressivity and efficient inference, and that optimal search does not guarantee optimal ...

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Morphological Word Embeddings for Arabic Neural Machine Translation in Low Resource Settings

Morphological Word Embeddings for Arabic Neural Machine Translation in Low Resource Settings

... In some cases, the morph system is consistently the only system that successfully translates a rare morphological variant. For instance, in example 2, the morph system translates the word A` (AbEAdA, “dimensions”) ...

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Towards a Hybrid Rule-based and Statistical Arabic-French Machine Translation System

Towards a Hybrid Rule-based and Statistical Arabic-French Machine Translation System

... the translation or training engines or the increase of the amount of the training ...of Arabic language is described in sec- tion ...pre-processing Arabic through seg- mentation and different rules ...

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A Formalized Reference Grammar for UNL Based Machine Translation between English and Arabic

A Formalized Reference Grammar for UNL Based Machine Translation between English and Arabic

... the incoming UNL document and generate it in natural languages. IAN and Eugene use two types of Natural language dictionaries; enumerative and generative. The enumerative dictionary of IAN contains all inflected word ...

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Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation

Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation

... Qatari Arabic and translated to English; see (Elmahdy et ...for machine translation and language mod- ...the Arabic side and corrected the English side of the corpus as described in Section ...

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