Google Translate Adds Pashto into the Translation System

By adding 13 more languages into the Translate, including Pashto, the system supports over 100 languages now.

Google announced including Pashto language widely spoken in Afghanistan and Pakistan, and a big Pashto speaking population in the Middle East, Asia Pacific, Europe and America.


Google started in 2006 with machine learning-based translations between English and Arabic, Chinese and Russian. Almost 10 years later, by adding 13 new languages, Google translate offer 103 languages. “This covers 99% of the online population,” says Google in a blog post.


In addition to Pashto, 12 more languages have been added to the Google Translate. These languages include: Amharic, Corsican, Frisian, Kyrgyz, Hawaiian, Kurdish (Kurmanji), Luxembourgish, Samoan, Scots Gaelic, Shona, Sindhi, and Xhosa. Google believes that this will help bring a combined 120 million new people to the billions who can already communicate with Translate all over the world.


Google’s criteria for including any new language includes that it must be a written language, and have a significant amount of translations. Google then utilizes a combination of machine learning, licensed content and Translate Community to enhance translation in and quality of the language.


“As we scan the Web for billions of already translated texts, we use machine learning to identify statistical patterns at enormous scale, so our machines can ‘learn’ the language.” Says Google. It adds that the already existing documents can’t cover the breadth of a language, they also rely on people in Translate Community to help improve current Google Translate languages and add new ones.


Contributing to Google Translation to improve your language is easy. You simple login to https://translate.google.com/community with your Google account, select a language and start translating or validating various short text and phrases given in English, as a source language, and your target language.  So far, over 3 million people have contributed approximately 200 million translated words.

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