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With the goal of breaking down language barriers to help people connect and better understand the world around them, Google Translate is always applying the latest technologies so more people can access the tool. In 2022, they added around 24 new languages, using Zero-Shot Machine Translation, where a machine learning model learns to translate into another language without ever seeing an example.
They have also announced the 1,000 Languages Initiative, a commitment to building AI models that will support the 1,000 most spoken languages worldwide.
Recently, Google Translate announced the expansion of a variety of languages it supports using PaLM 2 LLM, which utilises AI to learn new languages, particularly those related to regional dialects.
They have rolled out 110 new languages to Google Translate, which is their most significant expansion ever. Among the newly supported languages are 7 Indian regional dialects such as Awadhi, Bodo, Khasi, Kokborok, Marwadi, Santali, and Tulu.
From Cantonese to Qʼeqchiʼ, these new languages represent more than 614 million speakers, opening up translations for around 8% of the world’s population. Some are major world languages with over 100 million speakers. Others are spoken by small communities of Indigenous people, and a few have almost no native speakers but active revitalisation efforts. About a quarter of the new languages come from Africa, representing Google Translate’s most significant expansion of African languages to date, including Fon, Kikongo, Luo, Ga, Swati, Venda and Wolof.
Given below are some of the other newly supported languages in Google Translate:
According to a blog post by Google, there’s a lot to consider when adding new languages to Translate — everything from the varieties they offer to the specific spellings people use.
Languages have immense variation: regional varieties, dialects, and different spelling standards. In fact, many languages have no one standard form, so it’s impossible to pick the “right” variety. Google’s approach has prioritised the most commonly used varieties of each language. For example, Romani is a language that has many dialects throughout Europe. Google’s models produce text closest to Southern Vlax Romani, a commonly used variety online. But it also mixes in elements from others, like Northern Vlax and Balkan Romani.
PaLM 2 was a crucial piece to the puzzle, helping Translate more efficiently learn languages that are closely related to each other, including languages close to Hindi, like Awadhi and Marwadi, and French creoles like Seychellois Creole and Mauritian Creole, says Google. As technology advances and Google continues to partner with expert linguists and native speakers, Google ensures that it will support even more language varieties and spelling conventions over time.
Source: Google