@inproceedings{akhlaghi-etal-2020-constructing,
title = "Constructing Multimodal Language Learner Texts Using {LARA}: Experiences with Nine Languages",
author = {Akhlaghi, Elham and
B{\'e}di, Branislav and
Bekta{\c{s}}, Fatih and
Berthelsen, Harald and
Butterweck, Matthias and
Chua, Cathy and
Cucchiarin, Catia and
Eryi{\u{g}}it, G{\"u}l{\c{s}}en and
Gerlach, Johanna and
Habibi, Hanieh and
N{\'\i} Chiar{\'a}in, Neasa and
Rayner, Manny and
Steingr{\'\i}msson, Stein{\th}{\'o}r and
Strik, Helmer},
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.40",
pages = "323--331",
abstract = "LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners. This involves semi-automatically tagging the text, adding other annotations and recording audio. The platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. We present results of initial experiments by various collaborators where we measure the time required to produce substantial LARA resources, up to the length of short novels, in Dutch, English, Farsi, French, German, Icelandic, Irish, Swedish and Turkish. The first results are encouraging. Although there are some startup problems, the conversion task seems manageable for the languages tested so far. The resulting enriched texts are posted online and are freely available in both source and compiled form.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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<abstract>LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners. This involves semi-automatically tagging the text, adding other annotations and recording audio. The platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. We present results of initial experiments by various collaborators where we measure the time required to produce substantial LARA resources, up to the length of short novels, in Dutch, English, Farsi, French, German, Icelandic, Irish, Swedish and Turkish. The first results are encouraging. Although there are some startup problems, the conversion task seems manageable for the languages tested so far. The resulting enriched texts are posted online and are freely available in both source and compiled form.</abstract>
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%0 Conference Proceedings
%T Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages
%A Akhlaghi, Elham
%A Bédi, Branislav
%A Bektaş, Fatih
%A Berthelsen, Harald
%A Butterweck, Matthias
%A Chua, Cathy
%A Cucchiarin, Catia
%A Eryiğit, Gülşen
%A Gerlach, Johanna
%A Habibi, Hanieh
%A Ní Chiaráin, Neasa
%A Rayner, Manny
%A Steingrímsson, Stein\thór
%A Strik, Helmer
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F akhlaghi-etal-2020-constructing
%X LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners. This involves semi-automatically tagging the text, adding other annotations and recording audio. The platform is suitable for creating texts in multiple languages via crowdsourcing techniques that can be used for teaching a language via reading and listening. We present results of initial experiments by various collaborators where we measure the time required to produce substantial LARA resources, up to the length of short novels, in Dutch, English, Farsi, French, German, Icelandic, Irish, Swedish and Turkish. The first results are encouraging. Although there are some startup problems, the conversion task seems manageable for the languages tested so far. The resulting enriched texts are posted online and are freely available in both source and compiled form.
%U https://aclanthology.org/2020.lrec-1.40
%P 323-331
Markdown (Informal)
[Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages](https://aclanthology.org/2020.lrec-1.40) (Akhlaghi et al., LREC 2020)
ACL
- Elham Akhlaghi, Branislav Bédi, Fatih Bektaş, Harald Berthelsen, Matthias Butterweck, Cathy Chua, Catia Cucchiarin, Gülşen Eryiğit, Johanna Gerlach, Hanieh Habibi, Neasa Ní Chiaráin, Manny Rayner, Steinþór Steingrímsson, and Helmer Strik. 2020. Constructing Multimodal Language Learner Texts Using LARA: Experiences with Nine Languages. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 323–331, Marseille, France. European Language Resources Association.