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"What are the language pairs that Google Translate excels in and where does it struggle in terms of translation accuracy?"
Google Translate excels in translating languages with Latin scripts, such as English-Spanish, English-French, English-German, and English-Portuguese, with accuracy rates often above 90%.
The top 3 language pairs used in machine translation projects in Phrase TMS are English-Spanish, English-French, and English-German.
Google Translate has achieved the highest performance scores in medical domains for English-German, with an accuracy rate of 91.62%.
Arabic, Chinese, Japanese, and Korean are languages that Google Translate struggles with, often producing inaccurate or incomplete translations.
Languages that are under-represented in its training data, such as African and Native American languages, are challenging for Google Translate to produce accurate translations.
Language pairs with significant cultural or linguistic nuances, such as English-Arabic, English-Russian, or English-Hindi, are difficult for Google Translate, leading to inaccuracies and mistranslations.
Google Translate supports 103 languages and 10,000 language pairs, handling approximately 500 million translation requests each day.
The accuracy of Google Translate depends on the specific language pairs, with translating from English to Spanish having a very high accuracy rate, over 90%.
Google Translate struggles to translate colloquial phrases, with an average accuracy rate of 72%.
In a study, Google Translate showed an accuracy rate of 94% for business websites' content and 96% for literary text.
On average, there are 277 mistakes for every 10 words analyzed when translating everyday phrases using Google Translate.
Google Translate beat out ChatGPT for less common languages, such as Tagalog (Philippines) and Amharic (Ethiopia).
Google Translate is very accurate, with an average accuracy rate of 94% in some cases, although the exact accuracy depends on the language pairs.
Google Translate's machine translations involve multiple iterations for languages other than English, potentially leading to inaccuracies.
Neural Machine Translation, a new approach, is being introduced to improve Google Translate's accuracy and fluency, promising even better results.
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