Text normalization methods have been commonly applied to historical language or user-
generated content, but less often to dialectal transcriptions. In this paper, we introduce …

Finnish is a language with multiple dialects that not only differ from each other in terms of
accent (pronunciation) but also in terms of morphological forms and lexical choice. We …

This paper presents Murreviikko, a dataset of dialectal Finnish tweets which have been
dialectologically annotated and manually normalized to a standard form. The dataset can be …

We present an open-source online dictionary editing system, Ve'rdd, that offers a chance to
re-evaluate and edit grassroots dictionaries that have been exposed to multiple amateur …

We investigate both rule-based and machine learning methods for the task of compound
error correction and evaluate their efficiency for North Sámi, a low resource language. The …

There are a lot of tools and resources available for processing Finnish. In this paper, we
survey recent papers focusing on Finnish NLP related to many different subcategories of …

Texts written in Old Literary Finnish represent the first literary work ever written in Finnish
starting from the 16th century. There have been several projects in Finland that have …

While standard Estonian is not a low-resourced language, the different dialects of the
language are under-resourced from the point of view of NLP, given that there are no vast …

This paper is a methodological exploration of the origin of mood in early modern and
modern Finnish literary texts using computational methods. We discuss the pre-processing …

We study neologism use in two samples of early English correspondence, from 1640--1660
and 1760--1780. Of especial interest are the early adopters of new vocabulary, the social …