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Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study

Domain:

natural language processing

Record type:

paper
We present novel methods for assessing the quality of human-translated aligned texts for learning machine translation models of under-resourced languages. Malian university students translated French texts, producing either written or oral translations to Bambara. Our results suggest that similar quality can be obtained from either written or spoken translations for certain kinds of texts. They also suggest specific instructions that human translators should be given in order to improve the quality of their work.

Visit

arxiv.org

Connected records

project

Tasks

machine translation

Languages

BamanankanLame

Tags

africanlp1

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Bayɛlɛmabaga | Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study​

Bayɛlɛmabaga | Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study​

Bayɛlɛmabaga is a word in Bambara, the most widely spoken language in Mali, which means "translator". Bayɛlɛmabaga is a collaborative project which aims to apply automatic natural language processing - in English: Natural language processing (NLP) - to Bambara and,