Assessing linguistically aware fuzzy matching in translation memories

Improving translation memory fuzzy matching by paraphrasing

Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data Augmentation

We identify a number of aspects that can boost the performance of Neural Fuzzy Repair (NFR), an easy-to-implement method to integrate translation memory matches and neural machine translation (NMT). We explore various wa…

Boosting Neural Machine Translation with Similar Translations

This paper explores data augmentation methods for training Neural Machine Translation to make use of similar translations, in a comparable way a human translator employs fuzzy matches. In particular, we show how we can s…

Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up

This paper presents a study of state-of-the-art unsupervised and linguistically unsophisticated keyword extraction algorithms, based on statistic-, graph-, and embedding-based approaches, including, i.a., Total Keyword F…

Interpretable Fuzzy Rule-Based Regression Extension for Ex-Fuzzy Library

Machine learning models achieve high predictive accuracy in regression tasks, but their deployment in safety-critical and regulated domains requires interpretability. While fuzzy rule-based systems offer transparent, lin…