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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."


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Academic Paper


Title: Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices
Author: Stella Frank
Author: Desmond Elliott
Author: Lucia Specia
Linguistic Field: Cognitive Science; Computational Linguistics
Abstract: Two studies on multilingual multimodal image description provide empirical evidence towards two questions at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) whether images improve human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by first showing that on the whole, translations are not distinguished from native language descriptions, and second delineating and quantifying the information gained from the image during the human translation task.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 24, Issue 3, which you can READ on Cambridge's site .

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