Home  /   News  /  Shutting down the Contribute Feature for Google Translate

Shutting down the Contribute Feature for Google Translate

23 / 4 / 2024

Google has recently announced the discontinuation of the Contribute feature for Google Translate, a tool that allowed users to suggest translations to improve the platform's quality. This decision comes as Google Translate has made significant advancements in recent years, largely attributed to the evolution of its underlying systems.

Launched in 2014, the Contribute feature aimed to harness the expertise of language enthusiasts and native speakers to enhance translations across the 80 languages supported by Google Translate.


It provided a platform for users to suggest new translations, rate existing ones, and offer optimization feedback. Initially hailed as an innovative way to engage users and leverage collective language knowledge globally, the feature’s relevance diminished as Google Translate evolved.

According to Google, with the development of machine learning techniques like neural machine translation, Google Translate achieved higher accuracy and fluency in translations, reducing the need for user contributions. Google now relies on these technological advancements to maintain translation quality, aiming to sustain it through continued advancements in machine learning.

By phasing out the Contribute feature, Google aims to streamline its translation process while ensuring high-quality translations. This move reflects the evolving landscape of translation technology, emphasizing the role of machine learning in enhancing translation services and showing the way the art of translation is heading.

Previous news

Maximizing Efficiency and Precision: Use of CAT Tools and Machine Translation Tools In Patent Translations

In the realm of patent translation, time is precious, and precision is paramount. CAT (Computer-Assisted Translation) Tools allow translation service providers to optimize the process, ensuring swift, accurate, and cost-effective translations for their clients.

Read More
Next news

Introducing a Massive New Multilingual Dataset for Machine Translation

A recent paper by researchers from several European universities unveiled the HPLT (High Performance Language Technologies) dataset for language modeling and machine translation. This dataset incorporates monolingual and bilingual corpora sourced from web crawls by the Internet Archive and CommonCrawl, a first at this scale.

According to the team, these resources are among the largest open text corpora ever released, providing invaluable material for language modeling and machine translation training.

Read More