From Mixed Backgrounds to NLP Skills

Libby Barak; Anna Feldman

From Mixed Backgrounds to NLP Skills

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Abstract

Student demand for NLP training now spans linguistics, computer science, data science, and applied fields, producing cohorts with uneven preparation. We report on a four-course curriculum used in an M.S. Computational Linguistics program: an undergraduate on-ramp, a two-course graduate core (classical methods and neural/LLM methods), and a rotating special-topics seminar. We describe the role of each course, the bridging strategy that keeps the core sequence focused, and assessment patterns that emphasize error analysis, experimental reasoning, and reproducible practice. The goal is a set of reusable curricular design patterns for mixed-background programs facing rapid topic turnover in NLP.

Anthology ID:: 2026.teachingnlp-1.10
Volume:: Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
Month:: March
Year:: 2026
Address:: Rabat, Morocco
Editors:: Matthias Aßenmacher, Laura Biester, Claudia Borg, György Kovács, Margot Mieskes, Sofia Serrano
Venues:: TeachingNLP | WS
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 59–68
Language:
URL:: https://aclanthology.org/2026.teachingnlp-1.10/
DOI:
Bibkey:
Cite (ACL):: Libby Barak and Anna Feldman. 2026. From Mixed Backgrounds to NLP Skills. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), pages 59–68, Rabat, Morocco. Association for Computational Linguistics.
Cite (Informal):: From Mixed Backgrounds to NLP Skills (Barak & Feldman, TeachingNLP 2026)
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PDF:: https://aclanthology.org/2026.teachingnlp-1.10.pdf

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@inproceedings{barak-feldman-2026-mixed-backgrounds,
    title = "From Mixed Backgrounds to {NLP} Skills",
    author = "Barak, Libby  and
      Feldman, Anna",
    editor = {A{\ss}enmacher, Matthias  and
      Biester, Laura  and
      Borg, Claudia  and
      Kov{\'a}cs, Gy{\"o}rgy  and
      Mieskes, Margot  and
      Serrano, Sofia},
    booktitle = "Proceedings of the Seventh Workshop on Teaching Natural Language Processing ({T}each{NLP} 2026)",
    month = mar,
    year = "2026",
    address = "Rabat, Morocco",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.teachingnlp-1.10/",
    pages = "59--68",
    ISBN = "979-8-89176-375-3",
    abstract = "Student demand for NLP training now spans linguistics, computer science, data science, and applied fields, producing cohorts with uneven preparation. We report on a four-course curriculum used in an M.S. Computational Linguistics program: an undergraduate on-ramp, a two-course graduate core (classical methods and neural/LLM methods), and a rotating special-topics seminar. We describe the role of each course, the bridging strategy that keeps the core sequence focused, and assessment patterns that emphasize error analysis, experimental reasoning, and reproducible practice. The goal is a set of reusable curricular design patterns for mixed-background programs facing rapid topic turnover in NLP."
}

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%0 Conference Proceedings
%T From Mixed Backgrounds to NLP Skills
%A Barak, Libby
%A Feldman, Anna
%Y Aßenmacher, Matthias
%Y Biester, Laura
%Y Borg, Claudia
%Y Kovács, György
%Y Mieskes, Margot
%Y Serrano, Sofia
%S Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-375-3
%F barak-feldman-2026-mixed-backgrounds
%X Student demand for NLP training now spans linguistics, computer science, data science, and applied fields, producing cohorts with uneven preparation. We report on a four-course curriculum used in an M.S. Computational Linguistics program: an undergraduate on-ramp, a two-course graduate core (classical methods and neural/LLM methods), and a rotating special-topics seminar. We describe the role of each course, the bridging strategy that keeps the core sequence focused, and assessment patterns that emphasize error analysis, experimental reasoning, and reproducible practice. The goal is a set of reusable curricular design patterns for mixed-background programs facing rapid topic turnover in NLP.
%U https://aclanthology.org/2026.teachingnlp-1.10/
%P 59-68

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Markdown (Informal)

[From Mixed Backgrounds to NLP Skills](https://aclanthology.org/2026.teachingnlp-1.10/) (Barak & Feldman, TeachingNLP 2026)

From Mixed Backgrounds to NLP Skills (Barak & Feldman, TeachingNLP 2026)

ACL

Libby Barak and Anna Feldman. 2026. From Mixed Backgrounds to NLP Skills. In Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026), pages 59–68, Rabat, Morocco. Association for Computational Linguistics.