Morphological Neural Pre- and Post-Processing for Slavic Languages

Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages

The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty

Tokenizer fertility the number of tokens per word imposes a hidden cost on non-English NLP. We measure fertility for ten foundation models across 25 European languages on parallel text, producing the first controlled tok…

Multilingual Slavic Named Entity Recognition

Named entity recognition, in particular for morphological rich languages, is challenging task due to the richness of inflected forms and ambiguity. This challenge is being addressed by SlavNER Shared Task. In this paper …

MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality

Does multilingual Neural Machine Translation (NMT) lead to The Curse of the Multlinguality or provides the Cross-lingual Knowledge Transfer within a language family? In this study, we explore multiple approaches for exte…

Multi-source morphosyntactic tagging for spoken Rusyn

This paper deals with the development of morphosyntactic taggers for spoken varieties of the Slavic minority language Rusyn. As neither annotated corpora nor parallel corpora are electronically available for Rusyn, we pr…