@inproceedings{leinonen-etal-2021-grapheme,
title = "Grapheme-Based Cross-Language Forced Alignment: Results with Uralic Languages",
author = "Leinonen, Juho and
Virpioja, Sami and
Kurimo, Mikko",
booktitle = "Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)",
month = may # " 31--2 " # jun,
year = "2021",
address = "Reykjavik, Iceland (Online)",
publisher = {Link{\"o}ping University Electronic Press, Sweden},
url = "https://aclanthology.org/2021.nodalida-main.36",
pages = "345--350",
abstract = "Forced alignment is an effective process to speed up linguistic research. However, most forced aligners are language-dependent, and under-resourced languages rarely have enough resources to train an acoustic model for an aligner. We present a new Finnish grapheme-based forced aligner and demonstrate its performance by aligning multiple Uralic languages and English as an unrelated language. We show that even a simple non-expert created grapheme-to-phoneme mapping can result in useful word alignments.",
}
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<abstract>Forced alignment is an effective process to speed up linguistic research. However, most forced aligners are language-dependent, and under-resourced languages rarely have enough resources to train an acoustic model for an aligner. We present a new Finnish grapheme-based forced aligner and demonstrate its performance by aligning multiple Uralic languages and English as an unrelated language. We show that even a simple non-expert created grapheme-to-phoneme mapping can result in useful word alignments.</abstract>
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%0 Conference Proceedings
%T Grapheme-Based Cross-Language Forced Alignment: Results with Uralic Languages
%A Leinonen, Juho
%A Virpioja, Sami
%A Kurimo, Mikko
%S Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
%D 2021
%8 may" 31–2 "jun
%I Linköping University Electronic Press, Sweden
%C Reykjavik, Iceland (Online)
%F leinonen-etal-2021-grapheme
%X Forced alignment is an effective process to speed up linguistic research. However, most forced aligners are language-dependent, and under-resourced languages rarely have enough resources to train an acoustic model for an aligner. We present a new Finnish grapheme-based forced aligner and demonstrate its performance by aligning multiple Uralic languages and English as an unrelated language. We show that even a simple non-expert created grapheme-to-phoneme mapping can result in useful word alignments.
%U https://aclanthology.org/2021.nodalida-main.36
%P 345-350
Markdown (Informal)
[Grapheme-Based Cross-Language Forced Alignment: Results with Uralic Languages](https://aclanthology.org/2021.nodalida-main.36) (Leinonen et al., NoDaLiDa 2021)
ACL