logo

Translation for Massive Open Online Courses

Sector: Education • Location: Germany, Ireland, United Kingdom, Greece, Netherlands, Belgium

Source: EU Funding & Tenders Portal

Project
Ended

Massive Open Online Courses have been growing rapidly in size and impact. Yet the language barrier constitutes a major growth impediment in reaching out to all peoples and educating all citizens. TraMOOC aims at tackling this impediment by developing high-quality translation of all types of text genre included in MOOCs (e.g. assignments, tests, presentations, lecture subtitles, blog text) from Eng

Status
Closed
Sector
Education
Location
Germany, Ireland, United Kingdom, Greece, Netherlands, Belgium
Updated
22 Jul 2026
Source
EU Funding & Tenders Portal

ConstructChat

Ask ConstructChat about Translation for Massive Open Online Courses

Pick a question to edit it, or write your own.

First answer free · no account

I am a

Project Information FAQ

Project Information

3 Q
The project “Translation for Massive Open Online Courses” is an infrastructure initiative in the Education sector, located in Germany, Ireland, United Kingdom, Greece, Netherlands, Belgium. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Participants

Not available for this record.

Status

Original status

ended

Taiyo status

Closed

Taiyo last update

2026-07-22

Contact

Not available for this record.

Description

Description

Massive Open Online Courses have been growing rapidly in size and impact. Yet the language barrier constitutes a major growth impediment in reaching out to all peoples and educating all citizens. TraMOOC aims at tackling this impediment by developing high-quality translation of all types of text genre included in MOOCs (e.g. assignments, tests, presentations, lecture subtitles, blog text) from English into eleven European and BRIC languages (DE, IT, PT, EL, DU, CS, BG, CR, PL, RU, ZH) that constitute strong use cases, are hard to translate into and have weak MT support, thus complying with the call objectives. Phrase-based and syntax-based statistical machine translation models will be developed for addressing language diversity and supporting the language-independent nature of the methodology. For a high quality, automatic translation approach and for adding value to existing infrastructure, extensive advanced bootstrapping of new resources will be performed. An innovative multi-modal automatic and human evaluation schema will further ensure translation quality. For human evaluation, an innovative, strict-access control, time- and cost-efficient crowdsourcing setup will be used. Translation experts, domain experts and end users will also be involved. Separate task mining applications will be employed for implicit translation evaluation: (i) topic detection will be applied to source and translated texts and the resulting entity lists will be compared, leading to further qualitative and quantitative translation evaluation results; (ii) sentiment analysis performed on MOOC users’ blog posts will reveal end user opinion/evaluation regarding translation quality. Results will be combined into a feedback vector and used to refine parallel data and retrain translation models towards a more accurate second-phase translation output. The project results will be showcased and tested on the Iversity MOOC platform and on the VideoLectures.NET digital video lecture library.

Location

Country

Germany, Ireland, United Kingdom, Greece, Netherlands, Belgium

Source

Source

EU Funding & Tenders Portal

URL

More Details

Record type

Project

Sector

Education

Article published date

2026-01-01

More on this project

Research

Free account

View all details

You are reading the public part. A free account opens the rest:

  • Every detail on this project
  • News and media coverage
  • Technical research
View all details

Free account · no card · lands you back on this project