This is a report on results obtained in the development of speech recognition tools intended
to support linguistic documentation efforts. The test case is an extensive fieldwork corpus of …

We compare different LSTMs and transformer models in terms of their effectiveness in
normalizing dialectal Finnish into the normative standard Finnish. As dialect is the common …

This paper describes the test of a dependency parsing method which is based on
bidirectional LSTM feature representations and multilingual word embedding, and evaluates …

The paper presents a method for parsing low-resource languages with very small training
corpora using multilingual word embeddings and annotated corpora of larger languages …

The systematic integration of pre-digital published transcriptions of legacy language
materials offers many possibilities to enrich documentary corpora with data that is often very …

The paper describes work-in-progress by the Izhva Komi language documentation project,
which records new spoken language data, digitizes available recordings and annotate these …

This study presents new experiments on Zyrian Komi speech recognition. We use Deep-
Speech to train ASR models from a language documentation corpus that contains both …

We present SpoCo, a simple, yet effective system for the web-based query of dialect corpora
encoded in ELAN that provides users with advanced concordancing functions, as well as the …

The paper describes work-in-progress by the Pite Saami, Kola Saami and Izhva Komi
language documentation projects, all of which use similar data and technical frameworks …

In this chapter, we argue that documentary linguistics, particularly as we practice it in our
own projects, can provide valuable resources for social science research. Especially in our …