Process / pipeline

Linguistic Acceptability Assessment — Grammaticality Judgment

Linguistic acceptability assessment is a natural-language-processing task that automatically estimates whether a sentence would be judged grammatically acceptable by a native speaker of the target language. Grounded in Chomsky's (1957) distinction between grammatical and ungrammatical utterances, the task was formalised as a neural benchmark by Warstadt, Singh and Bowman (2019) through the Corpus of Linguistic Acceptability (CoLA). It is used in language-learning research, linguistics studies, and quality auditing of natural-language-generation (NLG) systems.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Warstadt, A., Singh, A. & Bowman, S. (2019). Neural Network Acceptability Judgments. Transactions of the Association for Computational Linguistics, 7, 625–641. DOI: 10.1162/tacl_a_00290
  2. Chomsky, N. (1957). Syntactic Structures. Mouton, The Hague. ISBN: 978-9027933249

Related methods

ScholarGateLinguistic Acceptability Assessment (Linguistic Acceptability Assessment (Grammaticality Judgment)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/linguistic-acceptability