Browser-based Multilingual Translation

Informacje na temat projektu

Bergamot

Identyfikator umowy o grant: 825303

DOI

10.3030/825303

Projekt został zamknięty

Data podpisania przez KE 12 Listopada 2018

Data rozpoczęcia 1 Stycznia 2019

Data zakończenia 30 Czerwca 2022

Finansowanie w ramach

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Koszt całkowity

€ 2 999 096,25

Wkład UE

€ 2 999 096,25

Koordynowany przez

THE UNIVERSITY OF EDINBURGH
United Kingdom

Periodic Reporting for period 2 - Bergamot (Browser-based Multilingual Translation)

Okres sprawozdawczy: 2020-07-01 do 2022-06-30

Podsumowanie kontekstu i ogólnych celów projektu

Machine translation, such as from French to English, is commonly used in travel, e-commerce, government, and to support Ukrainian refugees. Typically text is sent the cloud for translation but this endangers user privacy. In a business or government context, cloud translation may be banned to protect confidentiality. Our machine translation system runs locally, preserving privacy and removing the risk of disclosure. Moreover, it does not require Internet access.

Running locally requires speed to run on desktop CPUs, low memory consumption, and small download sizes. The experience should be integrated with a desktop application and in the browser. A Firefox extension translates web pages locally. Going beyond simply translating pages, an assistant will help users fill out forms that expect responses in another language. The system should also estimate its own confidence and display it to users, warning of potentially incorrect translations.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

The project has a Firefox extension with 34,000 users that translates locally and a desktop application at https://translatelocally.com. The applications support translation for Bulgarian, Czech, English, Estonian, French, Polish, and Spanish. On a range of consumer laptops and desktops dating from 2012 to 2019, the desktop application translates 1000-9000 words per second.

An assistant supports filling forms where users can type in their own language and translations are entered as responses. Users can tick a box "highlight potential errors in red" to see where translation may be lower quality according to the system's self-assessment.

Our project featured in over 100 news articles including TechCrunch, Yahoo News, making #1 on Hacker News twice.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

Free local translation preserves privacy and empowers users who work with sensitive data. Extending Firefox means the project will be widely available. Open source enables extension and the possibility for the community to contribute translation models for underserved languages. The form filling assistant enables users to respond in languages they do not speak, going beyond ordinary web translation.

Our project has pushed boundaries of efficient neural network models, making them faster or supporting larger models on consumer devices. These methods have implications the speed and quality of other systems like captioning and summarization.

Estimating the system's own quality ensures trust in algorithms, a rising societal issue, is placed more appropriately. Moreover, it requires less labeling, so the technology can be applied more widely for languages with less data available.

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