Titre :

Crowdsourcing Model for Multilingual Corpus and Knowledge Construction: The Case of Transnational Mark Twain

Auteur(s) :

Fraisse, Amel [Auteur]
Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]
Jenn, Ronald [Auteur]
Centre d'Études en Civilisations, Langues et Lettres Étrangères - ULR 4074 [CECILLE]
Tran, Quoc-Tan [Auteur]
Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]

Titre de la revue :

ZIN. Issues in Information Science. Information Studies

Pagination :

21-32

Date de publication :

2018

ISSN :

0324-8194

Mot(s)-clé(s) en anglais :

Deep mapping
Under-resourced languages
Parallel text processing
Multilingual corpus
Humanities crowdsourcing

Discipline(s) HAL :

Sciences de l'Homme et Société/Sciences de l'information et de la communication
Sciences de l'Homme et Société/Littératures

Résumé en anglais : [en]

Purpose/Thesis: We describe a new approach that addresses key challenges to multilingual corpus by merging collective human intelligence (crowdsourcing) and automated knowledge construction and extraction methods in a ...
Lire la suite >Purpose/Thesis: We describe a new approach that addresses key challenges to multilingual corpus by merging collective human intelligence (crowdsourcing) and automated knowledge construction and extraction methods in a symbiotic fashion.Approach/Methods: We use a crowdsourcing model to collect and annotate translations of the same literary text.Results and conclusions: The model promotes a dynamic approach to archives that increases the impact of traditional research by presenting the text from a new angle, accessible to a global public.Practical implications: The Global Huck project proposes a new paradigm to assess the contribution of crowdsourcing-based models for collection and annotation purposes.Originality/Value: Choosing the translations of a novel as a field of study is a truly transnational and multilingual collaborative endeavor allowing us to increase our capacity to collect and organize data on a broad, transnational and multilingual scale.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre d'Études en Civilisations Langues et Lettres Étrangères (CECILLE) - ULR 4074

Source :

Harvested from HAL