Morfessor EM+ Prune: Improved subword segmentation with expectation maximization and pruning

SA Grönroos, S Virpioja, M Kurimo - arXiv preprint arXiv:2003.03131, 2020 - arxiv.org
Data-driven segmentation of words into subword units has been used in various natural
language processing applications such as automatic speech recognition and statistical …

DigiSami and digital natives: Interaction technology for the North Sami language

K Jokinen, K Hiovain, N Laxström, I Rauhala… - Dialogues with Social …, 2017 - Springer
The DigiSami project operates in the general context of revitalisation of endangered
languages, and focuses on the digital visibility and viability of the North Sami language in …

On the computational modelling of Michif verbal morphology

F Davis, EA Santos, H Souter - … of the 16th Conference of the …, 2021 - aclanthology.org
This paper presents a finite-state computational model of the verbal morphology of Michif.
Michif, the official language of the Métis peoples, is a uniquely mixed language with …

[PDF][PDF] Automatic speech recognition for human-robot interaction using an under-resourced language

J Leinonen - 2015 - aaltodoc.aalto.fi
Automatic speech recognition will soon be a part of everyday life. Even today many people
use the speech recognizer in their smartphones, whether it is Google Now or Siri …

[PDF][PDF] North Sámi morphological segmentation with low-resource semi-supervised sequence labeling

SA Grönroos, S Virpioja, M Kurimo - International Workshop on …, 2019 - research.aalto.fi
Semi-supervised sequence labeling is an effective way to train a low-resource
morphological segmentation system. We show that a feature set augmentation approach …

Low-resource active learning of morphological segmentation

SA Grönroos, K Hiovain, P Smit, I Rauhala… - … European Journal of …, 2016 - research.aalto.fi
Many Uralic languages have a rich morphological structure, but lack morphological analysis
tools needed for efficient language processing. While creating a high-quality morphological …

[PDF][PDF] Academy of Finland Centre of Excellence in Computational Inference (COIN) Coordinated by the Department of Computer Science Aalto University School of …

S Kaski, M Lindqvist - research.cs.aalto.fi
The Centre in Computational Inference Research (COIN, laskennallisen päättelyn
tutkimusyksikkö) was nominated as one of the national Centres of Excellence (CoE) by the …

[引用][C] DigiSami and Digital Natives: Interaction Technology for the North Sami

K Jokinen, K Hiovain, N Laxström, I Rauhala, G Wilcock