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Comparison of Google Translation with Human Translation

AAAI Conferences

Google Translate provides a multilingual machine-translation 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 translation, and Google translation with Chinese source language. The text sample was a collection of 289 spoken and written texts excerpts from the Selected Works of Mao Zedong in both Chinese and English versions. Google translate was used to translate the Chinese texts into English. These texts were analyzed by the automated text analysis tools: the Chinese and English LIWC, and the Chinese and English Coh-Metrix. Results of Pearson correlations on formality and cohesion showed Google English translation was highly correlated with both human English translation and the original Chinese texts.

AI will Power Machine Translation to New Heights in 2022 - Enterprise Viewpoint


Machine translation has been around for many years. However, it wasn't until Google, Microsoft and others began developing machine translation that it grew into a serious competitive alternative to human translation. As a result, machine translation has made more progress in the last 10 years than the previous 50 years. Today, machine translation is used to produce billions of words daily and is fast closing in on human translation quality. At the heart of the improvement in machine translation quality is artificial intelligence.

Locally translated mTOR controls axonal local translation in nerve injury


How is protein synthesis initiated locally in neurons? We found that mTOR (mechanistic target of rapamycin) was activated and then up-regulated in injured axons, owing to local translation of mTOR messenger RNA (mRNA). This mRNA was transported into axons by the cell size–regulating RNA-binding protein nucleolin. Furthermore, mTOR controlled local translation in injured axons. This included regulation of its own translation and that of retrograde injury signaling molecules such as importin β1 and STAT3 (signal transducer and activator of transcription 3).

2.2.X - XenForo 2.x Arabic Translation


Marks-Man submitted a new resource: XenForo 2.x Arabic Translation - XenForo 2.x Arabic Translation ملف اللغة العربية للنسخة 2.0 و سيكون محدث باستمرار ان...

AI in the Translation Industry – The 5-10 Year Outlook


Artificial intelligence (AI) has had a major and positive impact on a range of industries already, with the potential to give much more in the future. We sat down with Ofer Tirosh, CEO of Tomedes, to find out how the translation industry has changed as a result of advances in technology over the past 10 years and what the future might hold in store for it. Translation services have felt the impact of technology in various positive ways during recent years. For individual translators, the range and quality of computer-assisted translation (CAT) tools have increased massively. A CAT tool is a piece of software that supports the translation process.