We present a set of novel neural supervised and unsupervised approaches for determining
the readability of documents. In the unsupervised setting, we leverage neural language …

The paper presents the results of the Janes project, which aimed to develop language
resources and tools for Slovene user generated content. The paper first describes the 200 …

The paper presents two manually annotated Slovene language text normalisation datasets,
one of historical texts and the other of tweets, and proposes several variants of character …

We describe a new version of the Gigafida reference corpus of Slovene. In addition to
updating the corpus with new material and annotating it with better tools, the focus of the …

This article presents the current outcomes of the CURLICAT CEF Telecom project, which
aims to collect and deeply annotate a set of large corpora from selected domains. The …

In this paper, we describe the compilation of the Slovene Lexical Database; main focus
being on developing the methodology to improve the tools used for lexicographic analysis …

This paper gives an overview of distributional modelling of word meaning for contemporary
lexicography. We also apply it in a case study on automatic semantic shift detection in …

We propose a language-independent word normalisation method and exemplify it on
modernising historical Slovene words. Our method relies on character-level statistical …

The paper presents the compilation of the Collocations Dictionary of Modern Slovene, a new
resource targeting the language production needs of Slovene speakers. An important aspect …

Non-standard language as it appears in user-generated content has recently attracted much
attention. This paper proposes that non-standardness comes in two basic varieties, technical …