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Rachel Bawden

Dados Biográficos

ID6536342
NOMERachel Bawden
PRENOMESRachel
SOBRENOMEBawden
ASSINATURABAWDEN R
AFILIAÇÕESInria, France. [email protected]
ORCID0000-0001-9553-1768
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES1
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H1
  • Ancien ou moderne ? Pistes computationnelles pour l’analyse graphématique des textes écrits au XVIIe siècle

    Simon Gabay, Philippe Gambette et al.•ARTICLE•Linx•2022

    L’abandon des systèmes graphiques au profit de l’orthographe contemporaine dans l’écrasante majorité des éditions de textes du xviie siècle. a fait disparaître leur richesse graphématique. Cette dernière est logiquement restée en grande partie méconnue, et donc sous-exploitée, en dépit de son rendement interprétatif certain. En privilégiant une approche pratique, sur corpus, plutôt que théorique, et en s’appuyant sur une recatégorisation des diff…

  • Understanding Dialogue

    Open Access•Rachel Bawden•ARTICLE•Computational Linguistics•2021•Referências: 1

    Understanding Dialogue: Language Use and Social Interaction represents a departure from classic theories in psycholinguistics and cognitive sciences; instead of taking as a starting point the isolated speech of an individual that can be extended to accommodate dialogue, a primary focus is put on developing a model adapted to dialogue itself, bearing in mind important aspects of dialogue as an activity with a heavily cooperative component. As a re…

  • Survey of Low-Resource Machine Translation

    Barry Haddow, Rachel Bawden et al.•Citada por: 1•Referências: 3

    We present a survey covering the state of the art in low-resource machine translation (MT) research. There are currently around 7,000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation models. There has been increasing interest in research addressing the challenge of producing useful translation models when very little translated training data is available. We present a summary …

  • Survey of Low-Resource Machine Translation

    Barry Haddow, Rachel Bawden et al.•Citada por: 1•Referências: 3

    We present a survey covering the state of the art in low-resource machine translation (MT) research. There are currently around 7,000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation models. There has been increasing interest in research addressing the challenge of producing useful translation models when very little translated training data is available. We present a summary …

  • Understanding Dialogue

    Open Access•Rachel Bawden•ARTICLE•Computational Linguistics•2021•Referências: 1

    Understanding Dialogue: Language Use and Social Interaction represents a departure from classic theories in psycholinguistics and cognitive sciences; instead of taking as a starting point the isolated speech of an individual that can be extended to accommodate dialogue, a primary focus is put on developing a model adapted to dialogue itself, bearing in mind important aspects of dialogue as an activity with a heavily cooperative component. As a re…

  • Ancien ou moderne ? Pistes computationnelles pour l’analyse graphématique des textes écrits au XVIIe siècle

    Simon Gabay, Philippe Gambette et al.•ARTICLE•Linx•2022

    L’abandon des systèmes graphiques au profit de l’orthographe contemporaine dans l’écrasante majorité des éditions de textes du xviie siècle. a fait disparaître leur richesse graphématique. Cette dernière est logiquement restée en grande partie méconnue, et donc sous-exploitée, en dépit de son rendement interprétatif certain. En privilégiant une approche pratique, sur corpus, plutôt que théorique, et en s’appuyant sur une recatégorisation des diff…

  • Survey of Low-Resource Machine Translation

    Barry Haddow, Rachel Bawden et al.•Citada por: 1•Referências: 3

    We present a survey covering the state of the art in low-resource machine translation (MT) research. There are currently around 7,000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation models. There has been increasing interest in research addressing the challenge of producing useful translation models when very little translated training data is available. We present a summary …

Artificial Intelligence (2 obras) · Computer Science (2 obras) · Art (1 obra) · Authorship Attribution and Profiling (1 obra) · Cognition (1 obra) · Cognitive science (1 obra) · Cultural Differences and Values (1 obra) · Data science (1 obra) · Field (mathematics (1 obra) · Focus (optics (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae