The term low-resourced has been tossed around in the field of natural language processing
to a degree that almost any language that is not English can be called" low-resourced"; …

Big languages such as English and Finnish have many natural language processing (NLP)
resources and models, but this is not the case for low-resourced and endangered languages …

In this paper, we present an approach for translating word embeddings from a majority
language into 4 minority languages: Erzya, Moksha, Udmurt and Komi-Zyrian. Furthermore …

Many endangered Uralic languages have multilingual machine readable dictionaries saved
in an XML format. However, the dictionaries cover translations very inconsistently between …

In this paper, we present an FST based approach for conducting morphological analysis,
lemmatization and generation of Lushootseed words. Furthermore, we use the FST to …

This paper presents the current lexical, morphological, syntactic and rule-based machine
translation work for Erzya and Moksha that can and should be used in the development of a …

This paper presents lexd, a lexicon compiler for languages with nonsuffixational
morphology, which is intended to be faster and easier to use than existing solutions while …

We present our work towards building an infrastructure for documenting endangered
languages with the focus on Uralic languages in particular. Our infrastructure consists of …

We showcase that ChatGPT can be used to disambiguate lemmas in two endangered
languages ChatGPT is not proficient in, namely Erzya and Skolt Sami. We augment our …

This paper describes materials and annotation facilitation pertinent to the «Erzya-Moksha
Electronic Resources and Linguistic Diversity»(EMERALD) project. It addresses work …