Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian
Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, Andy Way
Correct Metadata for
Abstract
This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages.- Anthology ID:
- 2022.eamt-1.64
- Volume:
- Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
- Month:
- June
- Year:
- 2022
- Address:
- Ghent, Belgium
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- Venue:
- EAMT
- SIG:
- Publisher:
- European Association for Machine Translation
- Note:
- Pages:
- 349–350
- Language:
- URL:
- https://aclanthology.org/2022.eamt-1.64/
- DOI:
- Bibkey:
- Cite (ACL):
- Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, and Andy Way. 2022. Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 349–350, Ghent, Belgium. European Association for Machine Translation.
- Cite (Informal):
- Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian (Bago et al., EAMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.64.pdf
Export citation
@inproceedings{bago-etal-2022-achievements,
title = "Achievements of the {PRINCIPLE} Project: Promoting {MT} for {C}roatian, {I}celandic, {I}rish and {N}orwegian",
author = "Bago, Petra and
Castilho, Sheila and
Dunne, Jane and
Gaspari, Federico and
K, Andre and
Kristmannsson, Gauti and
Olsen, Jon Arild and
Resende, Natalia and
G{\'i}slason, N{\'i}els R{\'u}nar and
Sheridan, Dana D. and
Sheridan, P{\'a}raic and
Tinsley, John and
Way, Andy",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.64/",
pages = "349--350",
abstract = "This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="bago-etal-2022-achievements">
<titleInfo>
<title>Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian</title>
</titleInfo>
<name type="personal">
<namePart type="given">Petra</namePart>
<namePart type="family">Bago</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sheila</namePart>
<namePart type="family">Castilho</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jane</namePart>
<namePart type="family">Dunne</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Federico</namePart>
<namePart type="family">Gaspari</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andre</namePart>
<namePart type="family">K</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Gauti</namePart>
<namePart type="family">Kristmannsson</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jon</namePart>
<namePart type="given">Arild</namePart>
<namePart type="family">Olsen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Natalia</namePart>
<namePart type="family">Resende</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Níels</namePart>
<namePart type="given">Rúnar</namePart>
<namePart type="family">Gíslason</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Dana</namePart>
<namePart type="given">D</namePart>
<namePart type="family">Sheridan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Páraic</namePart>
<namePart type="family">Sheridan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">John</namePart>
<namePart type="family">Tinsley</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andy</namePart>
<namePart type="family">Way</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022-06</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 23rd Annual Conference of the European Association for Machine Translation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Helena</namePart>
<namePart type="family">Moniz</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Lieve</namePart>
<namePart type="family">Macken</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrew</namePart>
<namePart type="family">Rufener</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Loïc</namePart>
<namePart type="family">Barrault</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marta</namePart>
<namePart type="given">R</namePart>
<namePart type="family">Costa-jussà</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Christophe</namePart>
<namePart type="family">Declercq</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Maarit</namePart>
<namePart type="family">Koponen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ellie</namePart>
<namePart type="family">Kemp</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Spyridon</namePart>
<namePart type="family">Pilos</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mikel</namePart>
<namePart type="given">L</namePart>
<namePart type="family">Forcada</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carolina</namePart>
<namePart type="family">Scarton</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joachim</namePart>
<namePart type="family">Van den Bogaert</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Joke</namePart>
<namePart type="family">Daems</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Arda</namePart>
<namePart type="family">Tezcan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bram</namePart>
<namePart type="family">Vanroy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Margot</namePart>
<namePart type="family">Fonteyne</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>European Association for Machine Translation</publisher>
<place>
<placeTerm type="text">Ghent, Belgium</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages.</abstract>
<identifier type="citekey">bago-etal-2022-achievements</identifier>
<location>
<url>https://aclanthology.org/2022.eamt-1.64/</url>
</location>
<part>
<date>2022-06</date>
<extent unit="page">
<start>349</start>
<end>350</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings %T Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian %A Bago, Petra %A Castilho, Sheila %A Dunne, Jane %A Gaspari, Federico %A K, Andre %A Kristmannsson, Gauti %A Olsen, Jon Arild %A Resende, Natalia %A Gíslason, Níels Rúnar %A Sheridan, Dana D. %A Sheridan, Páraic %A Tinsley, John %A Way, Andy %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F bago-etal-2022-achievements %X This paper provides an overview of the main achievements of the completed PRINCIPLE project, a 2-year action funded by the European Commission under the Connecting Europe Facility (CEF) programme. PRINCIPLE focused on collecting high-quality language resources for Croatian, Icelandic, Irish and Norwegian, which are severely low-resource languages, especially for building effective machine translation (MT) systems. We report the achievements of the project, primarily, in terms of the large amounts of data collected for all four low-resource languages and of promoting the uptake of neural MT (NMT) for these languages. %U https://aclanthology.org/2022.eamt-1.64/ %P 349-350
Markdown (Informal)
[Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian](https://aclanthology.org/2022.eamt-1.64/) (Bago et al., EAMT 2022)
- Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian (Bago et al., EAMT 2022)
ACL
- Petra Bago, Sheila Castilho, Jane Dunne, Federico Gaspari, Andre K, Gauti Kristmannsson, Jon Arild Olsen, Natalia Resende, Níels Rúnar Gíslason, Dana D. Sheridan, Páraic Sheridan, John Tinsley, and Andy Way. 2022. Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 349–350, Ghent, Belgium. European Association for Machine Translation.