" Pre-training large-scale language models (LMs) requires huge amounts of text corpora. 
 LMs for English enjoy the ever-growing corpora of diverse language resources.
 However, less-resourced languages and their mono- and multilingual LMs often struggle to obtain bigger datasets.
  A typical approach in this case implies using machine translation of English corpora to a target language.
  In this work, we study the caveats of applying directly translated corpora for fine-tuning LMs for downstream natural language processing tasks and demonstrate that careful curation along with post-processing leads to improved performance and overall LMs robustness."

How Machine Translated Corpora Affects Language Models in MRC Tasks

Workshop on Hybrid Intelligence for Natural Language Processing Tasks (HI4NLP)

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

Maria Khvalchik

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How Machine Translated Corpora Affects Language Models in MRC Tasks

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