This document describes shared development of finite-state description of two closely
related but endangered minority languages, Erzya and Moksha. It touches upon …

We present advances in the development of a FST-based morphological analyzer and
generator for Skolt Sami. Like other minority Uralic languages, Skolt Sami exhibits a rich …

We train neural models for morphological analysis, generation and lemmatization for
morphologically rich languages. We present a method for automatically extracting …

This paper presents and discusses the first Universal Dependencies treebank for the
Apurin\~ a language. The treebank contains 76 fully annotated sentences, applies 14 parts …

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 …

Multilingual neural machine translation (MNMT) jointly trains a shared model for translation
with multiple language pairs. However, traditional subword-based MNMT approaches suffer …

We present a method for conducting morphological disambiguation for South S\'ami, which
is an endangered language. Our method uses an FST-based morphological analyzer 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 …

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