What Small Corpora Can Still Tell Us

نویسندگان

  • Leila Haddad Institute for Language Data Author

کلمات کلیدی:

low-resource NLP, corpus linguistics, evaluation

چکیده

Large-scale benchmarks often hide the interpretive value of carefully constructed small corpora. We present a workflow for combining close linguistic annotation with lightweight statistical analysis and show how modest datasets can expose systematic variation that disappears in aggregated evaluation.

چاپ شده

2025-10-15

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