CORDIS
EU research results

CORDIS

English EN
Translation for Massive Open Online Courses

Translation for Massive Open Online Courses

Objective

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.

Coordinator

HUMBOLDT-UNIVERSITAET ZU BERLIN

Address

Unter Den Linden 6
10117 Berlin

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 690 565

Participants (9)

Sort alphabetically

Sort by EU Contribution

Expand all

DUBLIN CITY UNIVERSITY

Ireland

EU Contribution

€ 434 815

THE UNIVERSITY OF EDINBURGH

United Kingdom

EU Contribution

€ 463 310

IONIAN UNIVERSITY

Greece

EU Contribution

€ 418 190

STICHTING KATHOLIEKE UNIVERSITEIT

Netherlands

EU Contribution

€ 319 550

EASN TECHNOLOGY INNOVATION SERVICES BVBA

Belgium

EU Contribution

€ 42 000

DELUXE MEDIA EUROPE LTD

United Kingdom

EU Contribution

€ 234 937,50

STICHTING KATHOLIEKE UNIVERSITEIT BRABANT

Netherlands

EU Contribution

€ 144 530

IVERSITY GMBH

Germany

EU Contribution

€ 56 000

KNOWLEDGE 4 ALL FOUNDATION LBG

United Kingdom

EU Contribution

€ 277 250

Project information

Grant agreement ID: 644333

  • Start date

    1 February 2015

  • End date

    31 January 2018

Funded under:

H2020-EU.2.1.1.4.

  • Overall budget:

    € 3 223 835

  • EU contribution

    € 3 081 147,50

Coordinated by:

HUMBOLDT-UNIVERSITAET ZU BERLIN

Germany

This project is featured in...