Intonation of Evaluative Utterances in Guatemalan Spanish: Data from PRESEEA corpus

ABSTRACT This article analyzes intonation in evaluative utterances from PRESEEA Guatemala corpus, aiming to identify the distinctive characteristics of this type of utterance in comparison to declarative or representative utterances, which primarily serve to refer to reality. To achieve this, utterances were collected from sociolinguistics interviews involving six participants-three men and three women-belonging to the second generation and representing three different levels of education. The data were analyzed following the parameters of the Autosegmental-Metrical Model and annotated using the Sp_ToBI system. The findings indicate that, despite the evaluative nature of the utterance examined, they follow the same nuclear configuration as declarative utterances. KEY WORDS: Intonation, Declarative Utterances, Evaluative Utterance, PRESEEA, Guatemala.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-30
DOI
https://doi.org/10.5281/zenodo.17010092
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intonation of Evaluative Utterances in Guatemalan Spanish: Data from PRESEEA corpus

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Intonation of Evaluative Utterances in Guatemalan Spanish: Data from PRESEEA corpus

article en

Abstract

ABSTRACT This article analyzes intonation in evaluative utterances from PRESEEA Guatemala corpus, aiming to identify the distinctive characteristics of this type of utterance in comparison to declarative or representative utterances, which primarily serve to refer to reality. To achieve this, utterances were collected from sociolinguistics interviews involving six participants-three men and three women-belonging to the second generation and representing three different levels of education. The data were analyzed following the parameters of the Autosegmental-Metrical Model and annotated using the Sp_ToBI system. The findings indicate that, despite the evaluative nature of the utterance examined, they follow the same nuclear configuration as declarative utterances. KEY WORDS: Intonation, Declarative Utterances, Evaluative Utterance, PRESEEA, Guatemala.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 58%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.