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Concreteness and imageability lexicon MEGA.HR-Crossling

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اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Ljubešić, Nikola
  • المصدر:
    https://github.com/clarinsi/megahr-crossling.
  • الموضوع:
    concreteness; imageability; multilingual
  • نوع التسجيلة:
    other/unknown material
  • اللغة:
    Afrikaans
    Arabic
    Azerbaijani
    Belarusian
    Bulgarian
    Bengali
    Bosnian
    Catalan; Valencian
    Cebuano
    Czech
    Welsh
    Danish
    German
    Greek, Modern (1453-)
    English
    Esperanto
    Spanish; Castilian
    Estonian
    Basque
    Persian
    Finnish
    French
    Western Frisian
    Galician
    Gujarati
    Hebrew
    Hindi
    Croatian
    Hungarian
    Armenian
    Indonesian
    Icelandic
    Italian
    Japanese
    Georgian
    Central Khmer
    Kannada
    Korean
    Latin
    Lithuanian
    Latvian
    Malagasy
    Macedonian
    Malayalam
    Mongolian
    Marathi
    Malay
    Burmese
    Nepali
    Dutch; Flemish
    Norwegian
    Panjabi; Punjabi
    Polish
    Portuguese
    Romanian; Moldavian; Moldovan
    Russian
    unknown
    Sinhala; Sinhalese
    Slovak
    Slovenian
    Albanian
    Serbian
    Swedish
    Tamil
    Telugu
    Tajik
    Thai
    Tagalog
    Turkish
    Ukrainian
    Urdu
    Uzbek
    Vietnamese
    Chinese
  • معلومة اضافية
    • بيانات النشر:
      Jožef Stefan Institute
      Faculty of Humanities and Social Sciences, University of Zagreb
    • الموضوع:
      2018
    • Collection:
      Linguistic Data and NLP Tools (CLARIN - Common Language Resources and Technology Infrastructure, Slovenia)
    • نبذة مختصرة :
      The lexicon contains concreteness and imageability predictions of words in 77 languages. The resource is built via supervised machine learning, using average human responses obtained for Croatian lexemes inside the MEGAHR project (http://megahr.ffzg.unizg.hr) as the response variable, and the Facebook cross-lingual word embeddings (https://github.com/Babylonpartners/fastText_multilingual) as explanatory variables. The Spearman correlation of human responses and automatic annotations on the Croatian-English language pair is ~0.8 for concreteness and ~0.7 for imageability.
    • File Description:
      application/zip; text/plain; charset=utf-8; downloadable_files_count: 1
    • Relation:
      https://arxiv.org/abs/1807.02903; https://hdl.handle.net/11356/1187
    • الدخول الالكتروني :
      https://hdl.handle.net/11356/1187
    • Rights:
      Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ; https://creativecommons.org/licenses/by-sa/4.0/ ; PUB
    • الرقم المعرف:
      edsbas.15565DC7