Objective
Given large collections of parallel (i.e. translated) texts, it is well-known how to, by successively applying a sentence- and a
word-alignment step, establish correspondences between words across languages. However, parallel texts are a scarce
resource for most language pairs involving lesser-used languages. On the other hand, human second language acquisition
seems not to require the reception of large amounts of translated texts, which indicates that there must be another way of
crossing the language barrier. Apparently, the human capabilities are based on looking at comparable resources, i.e. texts
or speech on related topics in different languages, which, however, are not translations of each other. Comparable (written
or spoken) corpora are far more common than parallel corpora, thus offering the chance to overcome the data acquisition
bottleneck. Despite its cognitive motivation, in the proposed project we will not attempt to simulate the complexities of
human second language acquisition, but will show that it is possible by purely technical means to automatically extract
information on word- and multiword-translations from comparable corpora. The aim is to push the boundaries of current
approaches, which typically utilize correlations between co-occurrence patterns across languages, in several ways: 1)
Eliminating the need for initial lexicons by using a bootstrapping approach which only requires a few seed translations. 2)
Implementing a new methodology which first establishes alignments between comparable documents across languages,
and then computes cross-lingual alignments between words and multiword-units. 3) Improving the quality of computed word
translations by applying an interlingua approach, which, by relying on several pivot languages, allows a highly effective
multi-dimensional cross-check. 4) We will show that, by looking at foreign citations, language translations can even be
derived from a single monolingual text corpus.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-CIG
See other projects for this call
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
55122 MAINZ
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.