Despite increasing amounts of data and ever improving natural language generation
techniques, work on automated journalism is still relatively scarce. In this paper, we explore …

Prior studies in multilingual language modeling (eg, Cotterell et al.,; Mielke et al.,) disagree
on whether or not inflectional morphology makes languages harder to model. We attempt to …

We present a new manually annotated corpus for broad-coverage named entity recognition
for Finnish. Building on the original Universal Dependencies Finnish corpus of 754 …

Progress in the quality of machine translation output calls for new automatic evaluation
procedures and metrics. In this paper, we extend the Morpheval protocol introduced by\citet …

This work proposes a sequential tagger for named entity recognition in morphologically rich
languages. Several schemes for representing the morphological analysis of a word in the …

The paper describes a rule-based machine translation system adapted to English to Finnish
translation. Although the translation system participates in the shared task of news …

LAS is a command-line tool for lemmatizing, morphological analysis, inflected form
generation, hyphenation and language identification of multiple languages. These …

We propose to use affect as a proxy for mood in literary texts. In this study, we explore the
differences in computationally detecting tone versus detecting mood. Methodologically we …

This paper presents the systems submitted by the Abu-MaTran project to the Englishto-
Finnish language pair at the WMT 2016 news translation task. We applied morphological …

This paper presents the OCR pipeline created for ParliamentSampo-Parliament of Finland
on the Semantic Web, a Linked Open Data (LOD) service, data infrastructure, and semantic …