This dataset was created by AadiCool
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We aim to collect, clean, and store corpora of Fon and French sentences for Natural Language Processing researches including Neural Machine Translation, Named Entity Recognition, etc. for Fon, a very low-resourced and endangered African native language.
Fon (also called Fongbe) is an African-indigenous language spoken mostly in Benin, Togo, and Nigeria - by about 2 million people.
As training data is crucial to the high performance of a machine learning model, the aim of this project is to compile the largest set of training corpora for the research and design of translation and NLP models involving Fon.
Through crowdsourcing, Google Form Surveys, we gathered and cleaned #25377 parallel Fon-French# all based on daily conversations.
To the crowdsourcing, creation, and cleaning of this version have contributed:
1) Name: Bonaventure DOSSOUAffiliation: MSc Student in Data Engineering, Jacobs UniversityContact: femipancrace.dossou@gmail.com
2) Name: Ricardo AHOUNVLAMEAffiliation: Student in LinguisticsContact: tontonjars@gmail.com
3) Name: Fabroni YOCLOUNONAffiliation: Creator of the Label IamYourClounonContact: iamyourclounon@gmail.com
4) Name: BeninLanguesAffiliation: BeninLanguesContact: https://beninlangues.com/
5) Name: Chris EmezueAffiliation: MSc Student in Mathematics in Data Science, Technical University of MunichContact: chris.emezue@gmail.com
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To join as a contributor, please contact us at: 1) https://twitter.com/bonadossou 2) https://twitter.com/ChrisEmezue 3) https://twitter.com/edAIOfficialOr contact Bonaventure Dossou (femipancrace.dossou@gmail.com), Chris Emezue (chris.emezue@gmail.com)_
Clavier Fongbé (WebView): https://bonaventuredossou.github.io/clavierfongbe/ (Made by Bonaventure Dossou)Clavier Fongbé (Mobile Android Version): https://play.google.com/store/apps/details?id=com.fulbertodev.clavierfongbe&hl=en&gl=US (Fabroni Yoclounon, Bonventure Dossou et. al.)
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
ABSTRACT Assessment is a question that consistently occupies research in the field of childhood studies. This paper is part of the debate on assessment in childhood education with an approach to the assessment of children and its specificities at the school daily life. It presents findings form qualitative researches with daily lives, children and teachers, with observation of practices and production of narratives from teacher’s reports, besides documentary and bibliographic research. The lack of academic material that focuses on assessment in the relationship between teachers and children, evidenced by the bibliographic review, exposes that this debate and the socialization of investigations about this subject are relevant. Daily life scenes are brought to reflect upon assessment processes and evince the power of the interaction between teacher and children, wich guides the movement or proposing an assessment focused on children’s learning and development. The dialogical, reflexive and participative dimensions of the assessment stand out in a proposal that affirms the teaching action in the creation and the conduction of work, as well as the need of child presence in this process, because recognizes child as a subject of rights. Its conclusions assert that assessment is important for the understanding of children´s learning, for the organization of teaching actions and for the indication of significant issues to the continuing teacher education, as an activity integrated with school acts.
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DailyDialogue is a manually labelled multi-turn dialogue dataset.