Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing - Archive ouverte HAL Access content directly
Conference Papers Year : 2018

Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing

Alice Millour
Karën Fort

Abstract

We present here the results of an experiment aiming at crowdsourcing part-of-speech annotations for a less-resourced French regional language, Alsatian. We used for this purpose a specifically-developed slightly gamified platform, Bisame. It allowed us to gather annotations on a variety of corpora covering some of the language dialectal variations. The quality of the annotations, which reach an averaged F-measure of 93%, enabled us to train a first tagger for Alsatian that is nearly 84% accurate. The platform as well as the produced annotations and tagger are all freely available. The platform can easily be adapted to other languages, thus providing a solution to (some of) the less-resourced languages issue.
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Dates and versions

hal-01790615 , version 1 (23-05-2018)

Identifiers

  • HAL Id : hal-01790615 , version 1

Cite

Alice Millour, Karën Fort. Toward a Lightweight Solution for Less-resourced Languages: Creating a POS Tagger for Alsatian Using Voluntary Crowdsourcing. Eleventh International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan. ⟨hal-01790615⟩
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