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Data · dataset · 2026

Adverb + COMP construction & adverbial clefts in 3 varieties of Portuguese

Listed in REDU - Unicamp Institutional Research Data Repository

Description

The data reported herein form part of the FAPESP-funded project (23/16142-0) entitled "Diagnostics for Adverbs: (Micro)variation and Cartography" and test, in three varieties of Portuguese (Angolan (AO), Brazilian (BP) and Mozambican (MOZ)), two well-documented properties of sentence adverbs: (1) their appearance before the complementiser in Adverb + COMP constructions and (2) their appearance in adverbial clefts. The dataset is organised into four zipped folders, grouped by test and by file type: - "6 Corpus Adv + COMP (AO, BP, MOZ).zip" — Corpus files containing the sentences tested in the Adverb + COMP construction, already judged by native speakers of AO, BP and MOZ, each with its respective metadata page. - "6 Prompts Adv + COMP (AO, BP, MOZ).zip" — Prompt files provided to the AI for the generation and/or linguistic and cultural adaptation of the sentences tested in the Adverb + COMP construction.

Each prompt was carefully prepared by the project executor, Prof. Aquiles Tescari Neto, and specifies the nature of the task to be undertaken by the AI, the target construction and the type of sentences to be generated. In this project, the AI was used solely to generate sentences for Brazilian Portuguese and to adapt them to the linguistic and cultural realities of Angola and Mozambique. - "8 Corpus Adverbial Clefts (AO, BP, MOZ).zip" — Corpus files containing the sentences tested in adverbial clefts, already judged by native speakers of AO, BP and MOZ, each with its respective metadata page. - "8 Prompts Adverbial Clefts (AO, BP, MOZ).zip" — Prompt files provided to the AI for the generation and/or linguistic and cultural adaptation of the sentences tested in adverbial clefts, following the same procedure as described for the Adverb + COMP test.

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Once the data were generated and/or adapted by the AI, they were carefully reviewed by the project executor, Prof. Aquiles Tescari Neto, and submitted to acceptability/grammaticality judgements by native speakers of the respective varieties, following standard practice in Generative Grammar.

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