# Predicting pragmatic functions of Chinese echo questions using prosody: evidence from acoustic analysis and data modeling

**Authors:** Siyi Cao, Yizhong Xu, Tongquan Zhou, Anqi Wu

PMC · DOI: 10.3389/fpsyg.2024.1322482 · Frontiers in Psychology · 2024-02-27

## TL;DR

This study explores how prosody in spoken Chinese can reveal the meaning of echo questions, using acoustic analysis and machine learning.

## Contribution

The study introduces a novel approach to predicting pragmatic functions of Chinese echo questions using prosody and machine learning models.

## Key findings

- Explicatory yes-no echo questions have higher pitch and intensity than recapitulatory ones.
- Recapitulatory wh-echo questions show higher pitch and intensity than explicatory ones.
- Support Vector Machine outperformed other models in predicting echo question functions.

## Abstract

Echo questions serve two pragmatic functions (recapitulatory and explicatory) and are subdivided into two types (yes-no echo question and wh-echo question) in verbal communication. Yet to date, most relevant studies have been conducted in European languages like English and Spanish. It remains unknown whether the different functions of echo questions can be conveyed via prosody in spoken Chinese. Additionally, no comparison was made on the diversified algorithmic models in predicting functions by the prosodity of Chinese echo questions, a novel linguistic cognition in nature. This motivated us to use different acoustic cues to predict different pragmatic functions of Chinese echo questions by virtue of acoustic experiment and data modeling. The results showed that for yes-no echo question, explicatory function exhibited higher pitch and intensity patterns than recapitulatory function whereas for wh-echo question, recapitulatory function demonstrated higher pitch and intensity patterns than explicatory function. With regard to data modeling, the algorithm Support Vector Machine (SVM) relative to Random Forest (RF) and Logistic Regression (LR) performed better when predicting different functions using prosodic cues in both yes-no and wh-echo questions. This study from a digitized perspective adds evidence to the cognition of echo questions’ functions on a prosodic basis.

## Full-text entities

- **Diseases:** mental illness (MESH:D001523), echo (MESH:D004454), auditory failure (MESH:D051437), speech or hearing disorders (MESH:D013064)
- **Chemicals:** Xiao Ming (-), lactose (MESH:D007785)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC11022972/full.md

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Source: https://tomesphere.com/paper/PMC11022972