Inflection rules for Marathi to English in rule based machine translation
, 2021 Machine translation is important application in natural language processing. Machine translation means translation from source language to target language to save the meaning of the sentence.
Namrata G. Kharate, Varsha Patil
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Machine translation using natural language processing [PDF]
MATEC Web of Conferences, 2019 Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai +2 more
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THE TRANSLATION QUALITY PROBLEMS OF MACHINE TRANSLATION SYSTEMS FOR THE KAZAKH LANGUAGE
Вестник КазНУ. Серия математика, механика, информатика, 2021 Kazakh language is related to languages with complex morphology and syntax. Today, most machine translation systems consider Kazakh language too, like Google, Yandex, Prompt, etc.
A. Karibayeva +3 more
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Various Approaches of Machine Translation for Marathi to English Language [PDF]
ITM Web of Conferences, 2021 Machine Translation (MT) is a generic term for computerised systems that generate translations from one natural language to another, with or without human intervention.
Shirsath Nilesh +3 more
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THE COMPARATIVE ANALYSIS OF THE MACHINE TRANSLATION SYSTEMS OF ECONOMIC DISCOURSE (ON THE EXAMPLE OF FRENCH-UKRAINIAN LANGUAGE PAIRS) [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2019 The paper is devoted to the research of the comparative analysis of the machine translation systems of French-language economic discourse in Ukrainian, taking into account the growing tendencies in the foreign economic activity of domestic enterprises ...
Nataliia M. Sopyluk, Ilona O. Tsarenko
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Comparative analysis of machine translation for Hindi-Dogri text using rule-based, statistical, and neural approaches [PDF]
PeerJ Computer ScienceMachine translation has made significant progress in several Indian languages; however, some, known as computationally low-resourced languages, have seen very little work in this field.
Joginder Kumar +7 more
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Towards an empirical evaluation of translated texts and translation quality [PDF]
Journal of Data Mining and Digital Humanities, 2022 We present various empirical methods and tools that can objectify and optimize the evaluation of translated texts as parallel translation corpora produced by professional translators or by a machine translation service. The proposed methods and tools are
Éric Poirier
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Rule Based Transliteration Scheme for English to Punjabi [PDF]
, 2013 Machine Transliteration has come out to be an emerging and a very important research area in the field of machine translation. Transliteration basically aims to preserve the phonological structure of words. Proper transliteration of name entities plays a
Bhalla, Deepti +2 more
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Comparison of SYSTRAN and Google Translate for English→Portuguese
Revista Tradumàtica, 2011 Two machine translation (MT) systems, a statistical MT (SMT) system and a hybrid system (rule-based and SMT) were tested in order to compare various MT performances. The source language was English (EN) and the target language Portuguese (PT).
Rodrigo Gomes de Oliveira +1 more
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Survey of Uyghur Machine Translation Research [PDF]
Jisuanji gongchengAs one of the important tasks in China's low-resource machine translation research, the development and application of Uyghur machine translation can better promote cultural exchanges and trade between different regions and ethnic groups.However, Uyghur,
Halidanmu ABUDUKELIMU, Yutao HOU, Dengfeng YAO, Abudukelimu ABULIZI, Jishang CHEN
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