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20202024
most citedVe'rdd. Narrowing the Gap between Paper Dictionaries, Low-Resource NLP and Community Involvement

9 citations · 21 across the 14 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 3 cited

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,…

cs.CL2020★ 3 cited

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…

cs.CL2020★ 9 cited

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…

cs.CL2020★ 1 cited

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…

cs.CL2020

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…

cs.CL2020

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…