Workflows for the Large-Scale Collection and Transference of Knowledge across Languages: Using Natural Language Processing to Produce High-Quality Contents with Language Learners

Project description

New cross-lingual workflow transfer for large-scale content

Language translation is a complex endeavour. It is hard to find a one-to-one equivalent when transferring content from one language to another as each language has its own system for conveying concepts. The EU-funded WIKOLLECT project will explore this issue by drawing on a synergy between natural language processing, language learning, and crowdsourcing. It will develop a special workflow for large-scale transference of high-quality content across languages. This includes four cyclic steps to automatically identify content in the source language that is missing in the target language and generate potential translations. Applied in Italian and German to Wiktionary, the free-content multilingual online dictionary, this project workflow will promote the fair re-use of content across languages and facilitate knowledge transfer.

Fields of science

• natural sciences › computer and information sciences › artificial intelligence
• natural sciences › computer and information sciences › data science › natural language processing

Programme(s)

• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2018 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2018
See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

ACCADEMIA EUROPEA DI BOLZANO

Address

Viale Druso 1
39100 Bolzano
Italy

Activity type

Research Organisations

EU contribution

€ 183 473,28