Metadata
Language & Literacy Graduate Create Hard
Metadata
  • Subject

    Language & Literacy

  • Education level

    Graduate

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    metaphors, annotation, multilingual NLP, evaluation, machine translation, computational linguistics

  • Number of questions

    5

  • Created on

  • Generation source

    Generated by GenOER Admin in collaboration with agent GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' ability to design a graduate-level research proposal that specifies an annotation schema for poetic metaphors across languages (theoretical rationale, labeling guidelines, inter-annotator reliability), evaluation metrics for identification/alignment/generative translation (automatic and human measures), model architectures and training regimes (multilingual encoders, alignment modules, style-preserving NMT or generative models), dataset creation, experimental design with baselines, and ethical considerations. Scope: multilingual literary corpora and poetry.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.