How Do People Quantify Naturally: Evidence from Mandarin Picture Description

2026-02-10

AI Summary

This study investigates how speakers decide whether to quantify, how precisely to quantify, and which quantification strategies to employ during natural language production. Through a picture description task, native speakers’ spoken and written descriptions of multi-object scenes were collected under conditions with no explicit instructions, enabling the first systematic examination of quantification behavior in Mandarin Chinese in unconstrained, naturalistic settings. The findings reveal that increasing object numerosity reduces both the likelihood and precision of quantification, and that animacy interacts significantly with production modality to influence quantification strategies. The project also establishes the first corpus of Mandarin quantification based on naturally produced language, providing a foundational resource for future research in this domain.

Technology Category

• Natural Language Processing: Lexical Semantics and Morphology
• Knowledge Representation and Reasoning: Qualitative Reasoning
• Machine Learning: Calibration & Uncertainty Quantification

Application Category

• Web Mining and Content Analysis: Mining multimedia, multimodal, multilingual, cross-lingual Web data
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets
• Security and Privacy: Large-scale security measurements

Abstract

Quantification is a fundamental component of everyday language use, yet little is known about how speakers decide whether and how to quantify in naturalistic production. We investigate quantification in Mandarin Chinese using a picture-based elicited description task in which speakers freely described scenes containing multiple objects, without explicit instructions to count or quantify. Across both spoken and written modalities, we examine three aspects of quantification: whether speakers choose to quantify at all, how precise their quantification is, and which quantificational strategies they adopt. Results show that object numerosity, animacy, and production modality systematically shape quantificational behaviour. In particular, increasing numerosity reduces both the likelihood and the precision of quantification, while animate referents and modality selectively modulate strategy choice. This study demonstrates how quantification can be examined under unconstrained production conditions and provides a naturalistic dataset for further analyses of quantity expression in language production.

Problem

• quantification
• naturalistic production
• Mandarin Chinese
• language production
• numerosity

Innovation

• naturalistic production
• quantification
• Mandarin Chinese
• elicited description
• modality effects