Long English objects and short Chinese objects
Language diversity shaped by cognitive universality
Bibliographic Data
| ID | 21226562 |
|---|---|
| Authors | Chunshan Xu (0000-0001-7637-7814, Anhui Jianzhu University), Haitao Liu (0000-0003-1724-4418, Fudan University, corresponding author) |
| Year | 2025 |
| Volume | 11 |
| Issue | 1 |
| Pages | 609-619 |
| Publication date | 2025-12-31 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Linguistics Vanguard (JOURNAL) |
| Journal identifiers | ISSN: 2199-174X • E-ISSN: 2199-174X |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/lingvan-2023-0132 |
| OpenAlex | W4408083019 |
| Language | EN |
| Citations received | 1 |
| References cited | 33 |
Based on samples from two corpora, we found that Chinese objects tend to be much shorter than English objects, and that unlike in English, Chinese subjects and objects tend to have similar lengths when their information status is controlled. These differences can be explained in terms of a universal need for dependency distance minimization (DDM), reflecting different strategies of sentence organization to meet the universal constraint of working memory. These DDM-driven syntactic diversities may be irrelevant to grammaticality, but contribute to the smoothness of sentences, because they are shaped by the universal need to reduce the cognitive burden during comprehension. It is perhaps in these common cognitive and functional constraints that we are to find true language universals, universals embodied in linguistic diversity
Cognition · Cognitive linguistics · Cognitive psychology · Comprehension · Embodied cognition · Grammar · Grammaticality · Linguistic universal · Linguistics · Natural language processing · Problem of universals · Sentence · Sociology · Theoretical linguistics · Computer Science · Language and cultural evolution · Mathematics · Natural Language Processing Techniques · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Artificial Intelligence
Dependency Distance as a Metric of Language Comprehension Difficulty
Linguistic complexity
The Now-or-Never bottleneck
An Embedded-Processes Model of Working Memory
Dependency distance
Topic Continuity in Discourse
Word order preferences and the effect of phrasal length in SOV languages
Minimizing Syntactic Dependency Lengths
End-Weight from the Speaker's Perspective
"It's not Just the "Heavy NP
Dependency locality as an explanatory principle for word order
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |