activity
20202023
most citedVe'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement

9 citations · 13 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 1 cited

Sentiment Analysis Using Aligned Word Embeddings for Uralic Languages

Khalid Alnajjar, Mika Hämäläinen, Jack Rueter

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, we ali…

cs.CL2021

Processing M.A. Castrén's Materials: Multilingual Typed and Handwritten Manuscripts

Niko Partanen, Jack Rueter, Mika Hämäläinen +1

The study forms a technical report of various tasks that have been performed on the materials collected and published by Finnish ethnographer and linguist, Matthias Alexander Castr…

cs.CL2021

Detecting Depression in Thai Blog Posts: a Dataset and a Baseline

Mika Hämäläinen, Pattama Patpong, Khalid Alnajjar +2

We present the first openly available corpus for detecting depression in Thai. Our corpus is compiled by expert verified cases of depression in several online blogs. We experiment…

cs.CL2021★ 1 cited

Finnish Dialect Identification: The Effect of Audio and Text

Mika Hämäläinen, Khalid Alnajjar, Niko Partanen +1

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…

cs.CL2021

Apurinã Universal Dependencies Treebank

Jack Rueter, Marília Fernanda Pereira de Freitas, Sidney da Silva Facundes +2

This paper presents and discusses the first Universal Dependencies treebank for the Apurinã language. The treebank contains 76 fully annotated sentences, applies 14 parts-of-speech…

cs.CL2021

Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline

Mika Hämäläinen, Khalid Alnajjar, Niko Partanen +1

This study presents a new dataset on rumor detection in Finnish language news headlines. We have evaluated two different LSTM based models and two different BERT models, and have f…