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Multilingual Lexicon Extraction from Comparable Corpora

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.

Call for proposal

FP7-PEOPLE-2013-CIG
See other projects for this call

Coordinator

JOHANNES GUTENBERG-UNIVERSITAT MAINZ
EU contribution
€ 100 000,00
Address
SAARSTRASSE 21
55122 Mainz
Germany

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Region
Rheinland-Pfalz Rheinhessen-Pfalz Mainz, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Eva Katrin Müller (Dr.)
Links
Total cost
No data