9 citations · 21 across the 14 of their papers we have counts for
15 papers
AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modeling
Mariia Fedorova, Timothee Mickus, Niko Partanen +3
This paper describes the organization and findings of AXOLOTL'24, the first multilingual explainable semantic change modeling shared task. We present new sense-annotated diachronic…
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…
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…
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…
How Cute is Pikachu? Gathering and Ranking Pokémon Properties from Data with Pokémon Word Embeddings
Mika Hämäläinen, Khalid Alnajjar, Niko Partanen
We present different methods for obtaining descriptive properties automatically for the 151 original Pokémon. We train several different word embeddings models on a crawled Pokémon…
Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
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 hav…
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…
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…
Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered
Mika Hämäläinen, Niko Partanen, Jack Rueter +1
We train neural models for morphological analysis, generation and lemmatization for morphologically rich languages. We present a method for automatically extracting substantially l…
Speech Recognition for Endangered and Extinct Samoyedic languages
Niko Partanen, Mika Hämäläinen, Tiina Klooster
Our study presents a series of experiments on speech recognition with endangered and extinct Samoyedic languages, spoken in Northern and Southern Siberia. To best of our knowledge,…
Normalization of Different Swedish Dialects Spoken in Finland
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
Our study presents a dialect normalization method for different Finland Swedish dialects covering six regions. We tested 5 different models, and the best model improved the word er…
Ve'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement
Khalid Alnajjar, Mika Hämäläinen, Jack Rueter +1
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…
Automated Prediction of Medieval Arabic Diacritics
Khalid Alnajjar, Mika Hämäläinen, Niko Partanen +1
This study uses a character level neural machine translation approach trained on a long short-term memory-based bi-directional recurrent neural network architecture for diacritizat…
Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity
Mika Hämäläinen, Niko Partanen, Khalid Alnajjar +2
We present a novel approach for adapting text written in standard Finnish to different dialects. We experiment with character level NMT models both by using a multi-dialectal and t…
Uralic Language Identification (ULI) 2020 shared task dataset and the Wanca 2017 corpus
Tommi Jauhiainen, Heidi Jauhiainen, Niko Partanen +1
This article introduces the Wanca 2017 corpus of texts crawled from the internet from which the sentences in rare Uralic languages for the use of the Uralic Language Identification…