Navigating the Landscape of Possibilities When Working With Low-Resource Languages in MT
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It is undeniable that NMT has been evolving over the last decades. However, the success of this MT technology depends on the availability of large parallel databases for engine training, which entails a significant challenge for many languages. In some cases, there is no bilingual corpora and sometimes it is even hard to find a large monolingual corpus.
Therefore, this webinar seeks to instruct you on the strategies and optimizations that can be done in a low-resource language combination to build and train an NMT engine. Some real examples will be given extrapolating my experience creating NMT resources for the language pair Spanish-Galician.
Host organization: CPSL
Event Speakers
María do Campo Bayón
CPSL
María do Campo Bayón has studied Translation Studies at the University of Vigo and completed her master's degree in Tradumatics: Translation Technologies at the Autonomous University of Barcelona. Previously, she worked at various positions as a translator, post-editor, project manager and localization engineer. Currently, she is combining her professional career as Machine Translation Programme Manager at CPSL Language Solutions with a PHD in machine translation and low-resource languages.