Project

COST Action 16105 - European Network for Combining Language Learning with Crowdsourcing Techniques (enetCollect)

Goal: EnetCollect is a large international network funded as a COST Action (CA16105) currently involving more than hundred stakeholders from Europe and outside. It aims at performing the groundwork to set into motion a Research and Innovation trend combining the well-established domain of Language Learning with recent and successful crowdsourcing approaches. By doing so, enetCollect aims at unlocking a crowdsourcing potential available for all languages and at triggering an innovation breakthrough for the production of language learning material, such as lesson or exercise content, and language-related datasets such as, among others, NLP language resources.

For more information, please consult:
http://enetcollect.eurac.edu

Methods: Crowdsourcing, Language Learning

Date: 7 March 2017 - 1 September 2021

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Project log

Lionel Nicolas
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Lionel Nicolas
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Lionel Nicolas
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Lionel Nicolas
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Next Tuesday, 9th February, at 3 pm (CET), enetCollect is holding its 3rd STSM webinar. The perfect opportunity, if you want to learn more about STSMs. You can find all the details at https://enetcollect.net/ilias/goto.php?target=file_1101_download
 
Lionel Nicolas
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Lionel Nicolas
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enetCollect is organizing its 2nd STSM Webinar on 15th December at 15:00 (CET). See the official announcement for details on the content and the registration process => http://enetcollect.net/ilias/goto.php?target=fold_1084&client_id=enetcollect
 
Lionel Nicolas
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Lionel Nicolas
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Lionel Nicolas
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We are starting to organize a recurrent webinar to explain what STSMs are, how they work and how you can apply for one. In each edition, a former STSM grantee will discuss different aspects and benefits of carrying out a STSM by sharing their experiences. People attending the webinar will have the opportunity to ask the former grantees questions and have their curiosities satisfied. We intend to make this webinar a recurrent event taking place a few days after every new STSM call.
Follow the link below if you wish to see the announcement mail and know more about this initiative
 
Lionel Nicolas
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Lionel Nicolas
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Some members are trying to find via a survey all the existing language learning platforms and apps that exist nowadays.
It takes only a few minutes to fill it, and there is a contest to win vouchers for the participants that give the most interesting references.
So please support them and share your references!
 
Lionel Nicolas
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Lionel Nicolas
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Lionel Nicolas
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In this paper, we present our work on developing a vocabulary trainer that uses exercises generated from language resources such as ConceptNet and crowdsources the responses of the learners to enrich the language resource. We performed an empirical evaluation of our approach with 60 non-native speakers over two days, which shows that new entries to expand Concept-Net can efficiently be gathered through vocabulary exercises on word relations. We also report on the feedback gathered from the users and an expert from language teaching, and discuss the potential of the vocabulary trainer application from the user and language learner perspective. The feedback suggests that v-trel has educational potential, while in its current state some shortcomings could be identified.
Lionel Nicolas
added 3 research items
In this paper, we present the enetCollect1 COST Action, a large network project, which aims at initiating a new Research and Innovation (R&I) trend on combining the well-established domain of language learning with recent and successful crowdsourcing approaches. We introduce its objectives, and describe its organization. We then present the Italian network members and detail their research interests within enetCollect. Finally, we report on its progression so far.
We present an architecture for crowdsourcing language resources from language learners and a prototype implementation of it as a vocabulary trainer. The vocabulary trainer relies on lexical resources from the ConceptNet semantic network to generate exercises while using the learners' answers to improve the resources used for the exercise generation.
We present enetCollect, a large European network project funded as a COST Action that sets ground for combining crowdsourcing with IT technologies used in areas such as language learning and Natural Language Processing (NLP). This project tackles a major challenge of bringing together interdisciplinary researchers to foster language learning of all European citizens from diverse socio-demographic, cultural, educational, and linguistic backgrounds. It aims at unlocking a crowdsourcing potential available for all languages, including less widely spoken languages, in order to create language resources and achieve a coverage of material for teaching the languages. It will meet its research and capacity-building goals by creating an international community of researchers that will work on producing a comprehensive theoretical framework and running prototypical experiments to benefit a wide range of users and languages, while considering ethical, legal, and business issues. This article informs about its objectives, expected impact and strategic organisation that contribute to reaching its flexible and sustainable success goals.
Lionel Nicolas
added a project goal
EnetCollect is a large international network funded as a COST Action (CA16105) currently involving more than hundred stakeholders from Europe and outside. It aims at performing the groundwork to set into motion a Research and Innovation trend combining the well-established domain of Language Learning with recent and successful crowdsourcing approaches. By doing so, enetCollect aims at unlocking a crowdsourcing potential available for all languages and at triggering an innovation breakthrough for the production of language learning material, such as lesson or exercise content, and language-related datasets such as, among others, NLP language resources.
For more information, please consult: