نتایج جستجو برای: Neural Google Translation

تعداد نتایج: 476523  

Mahdi Alizadeh Mina Zand Rahimi Moein Madayenzadeh

Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated...

Journal: :Journal of English Language and Culture 2020

Journal: :iranian journal of english for academic purposes 0
abouzar oraki english language department, vali-e-asr university of rafsanjan, iran

translation, whose first traces date back at least to 3000 bc (newmark, 1988), has always been considered time-consuming and labor-consuming. in view of this, experts have made numerous efforts to develop some mechanical systems which can reduce part of this time and labor. the advancement of computers in the second half of the twentieth century paved the ground for the invention of machine tra...

2014
Haiying Li Arthur C. Graesser Zhiqiang Cai

Google Translate provides a multilingual machinetranslation service by automatically translating one written language to another. Google translate is allegedly limited in its accuracy in translation, however. This study investigated the accuracy of Google Chinese-to-English translation from the perspectives of formality and cohesion with two comparisons: Google translation with human expert tra...

2015
Rachel M. Taylor Nicola Crichton Beki Moult Faith Gibson

AIM This study investigates whether machine translation could help with the challenge of enabling the inclusion of ethnic diversity in healthcare research. DESIGN A two phase, prospective observational study. METHODS Two machine translators, Google Translate and Babylon 9, were tested. Translation of the Strengths and Difficulties Questionnaire (SDQ) from 24 languages into English and trans...

2014
Ravi Narayan V P Singh S Chakraverty

This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gaine...

Journal: :Söylem 2021

Bilgisayar ya da otomatik çeviri olarak adlandırılan makine çevirisi günümüz dünyasında diller arasında sıkça kullanılan bir araç halini almıştır. Makine çevirisi, herhangi dilde yazılmış olan kaynak metnin çevirmene ihtiyaç duymadan farklı hedef dile aktarılma işlemidir. Çeşitli alanlarda yapmaya çalışan birçok kişi genellikle işlemini hızlandırmak için çevrimiçi programlara başvurmaktadır. Ya...

Journal: :Вестник Башкирского университета 2019

Translation, whose first traces date back at least to 3000 BC (Newmark, 1988), has always been considered time-consuming and labor-consuming. In view of this, experts have made numerous efforts to develop some mechanical systems which can reduce part of this time and labor. The advancement of computers in the second half of the twentieth century paved the ground for the invention of machine tra...

Journal: :AMIA ... Annual Symposium proceedings. AMIA Symposium 2011
Cuijun Wu Fei Xia Louise Deleger Imre Solti

In our paper we addressed the research question: "Has machine translation achieved sufficiently high quality to translate PubMed titles for patients?". We analyzed statistical machine translation output for six foreign language - English translation pairs (bi-directionally). We built a high performing in-house system and evaluated its output for each translation pair on large scale both with au...

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