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Data · dataset · 2026

Coordination of an adverb with a sentence in Chilean, Peruvian and Salvadoran Spanish

Listed in REDU - Unicamp Institutional Research Data Repository

Description

The data reported herein, which form part of the FAPESP-funded project (23/16142-0) entitled "Diagnostics for Adverbs: (Micro)variation and Cartography", constitute a systematic test of the entire universal adverbial hierarchy posited by Cinque (1999), in which each adverb is coordinated with a full sentence, across three varieties of Spanish, namely Chilean, Peruvian, and Salvadoran. This dataset comprises two types of files: 1.

Three files containing the prompts provided to the AI for the generation of the sentences to be judged by native speakers. These files are identified by the word "Prompts" in the title and by the acronyms for each variety: CS (Chilean Spanish), PS (Peruvian Spanish), and SS (Salvadoran Spanish). Each file contains a prompt carefully prepared by the project executor, Prof.

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Aquiles Tescari Neto. The prompts specify the nature of the task to be undertaken by the AI, are theoretically oriented towards the target construction, and stipulate the type of sentences to be generated by the AI. In the FAPESP project within which these data were produced, the AI was used only to generate Spanish sentences and/or to adapt the generated sentences to the linguistic and cultural reality of Chile, Peru, and El Salvador. 2.

Three files containing the sentences already judged by native speakers of CS, PS, and SS. In addition to the judged sentences, each file includes a page containing the project metadata. Once the data were generated 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 identified varieties. There is one file per variety, each with its respective metadata. These files are identified by the acronyms CS, PS, and SS, preceded by "Corpus".

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Arts and Humanities
From keywords
Humanities
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Linguistic structures 78%
Provenance · 1 source records, 9 field assertions
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