NLP and computer aided learning

Translate-test is a popular technique to improve the performance of multilingual language models. This approach works by translating the input into English using an external machine translation system before running inference. However, these improvements can be attributed to the use of a separate translation system, which is typically trained on large amounts of parallel data not seen by the language model. In this work, we introduce a new approach called self-translate that leverages the few-shot translation capabilities of multilingual language models.

In this article, we explain the first steps to-wards a grammar-helping tool for Basquefrom a ruled-based approach. Specifically,we show the first steps carried out for help-ing with verb agreement, some of the dif-ficulties encountered, which linguistic is-sues arise when new rules are designed,and future perspectives