@inproceedings{gautam-etal-2021-avengers,
title = "Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction",
author = "Gautam, Vagrant and
Li, Wang Yau and
Mahmood, Zafarullah and
Mailhot, Fred and
Nadig, Shreekantha and
Wang, Riqiang and
Zhang, Nathan",
editor = "Nicolai, Garrett and
Gorman, Kyle and
Cotterell, Ryan",
booktitle = "Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.sigmorphon-1.16/",
doi = "10.18653/v1/2021.sigmorphon-1.16",
pages = "141--147",
abstract = "We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad`s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took."
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="gautam-etal-2021-avengers">
<titleInfo>
<title>Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction</title>
</titleInfo>
<name type="personal">
<namePart type="given">Vagrant</namePart>
<namePart type="family">Gautam</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Wang</namePart>
<namePart type="given">Yau</namePart>
<namePart type="family">Li</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Zafarullah</namePart>
<namePart type="family">Mahmood</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Fred</namePart>
<namePart type="family">Mailhot</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Shreekantha</namePart>
<namePart type="family">Nadig</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Riqiang</namePart>
<namePart type="family">Wang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Nathan</namePart>
<namePart type="family">Zhang</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2021-08</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Garrett</namePart>
<namePart type="family">Nicolai</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kyle</namePart>
<namePart type="family">Gorman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ryan</namePart>
<namePart type="family">Cotterell</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Online</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad‘s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.</abstract>
<identifier type="citekey">gautam-etal-2021-avengers</identifier>
<identifier type="doi">10.18653/v1/2021.sigmorphon-1.16</identifier>
<location>
<url>https://aclanthology.org/2021.sigmorphon-1.16/</url>
</location>
<part>
<date>2021-08</date>
<extent unit="page">
<start>141</start>
<end>147</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction
%A Gautam, Vagrant
%A Li, Wang Yau
%A Mahmood, Zafarullah
%A Mailhot, Fred
%A Nadig, Shreekantha
%A Wang, Riqiang
%A Zhang, Nathan
%Y Nicolai, Garrett
%Y Gorman, Kyle
%Y Cotterell, Ryan
%S Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F gautam-etal-2021-avengers
%X We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad‘s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.
%R 10.18653/v1/2021.sigmorphon-1.16
%U https://aclanthology.org/2021.sigmorphon-1.16/
%U https://doi.org/10.18653/v1/2021.sigmorphon-1.16
%P 141-147
Markdown (Informal)
[Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction](https://aclanthology.org/2021.sigmorphon-1.16/) (Gautam et al., SIGMORPHON 2021)
ACL
- Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood, Fred Mailhot, Shreekantha Nadig, Riqiang Wang, and Nathan Zhang. 2021. Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 141–147, Online. Association for Computational Linguistics.