A nearly exhaustive experimental investigation of bridge effects in English
Bibliographic Data
| ID | 11115243 |
|---|---|
| Authors | Nick Huang (0000-0001-8022-1097), Diogo Almeida (0000-0003-4674-8092), Jon Sprouse (0000-0002-8875-3204) |
| Year | 2025 |
| Volume | 101 |
| Issue | 1 |
| Pages | 72-108 |
| Publication date | 2025-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Language (JOURNAL) |
| Journal identifiers | ISSN: 0097-8507 • E-ISSN: 1535-0665 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/lan.2025.a954229 |
| OpenAlex | W4408719359 |
| Language | EN |
| Citations received | 5 |
In many languages, finite-clause-embedding verbs vary in whether they allow wh-dependencies to cross from the embedded to the matrix clause—a phenomenon we call 'bridge effects'. Why bridge effects exist has been the subject of much debate; we argue that contributing to the lack of consensus are the relatively small samples of verbs (from twelve to seventy-five for English) previously tested in the literature. To resolve this issue, we report two new data sets of bridge effects covering a nearly exhaustive sample of 640 English verbs. We use these data sets to address three research questions: Are there bridge effects at all? How well do leading theories of bridge effects explain observed variation across the full range of verbs? And are there new patterns emerging from our data that could lead to a better theory? We ultimately argue in favor of a multivariate approach, drawing upon existing ideas while including a novel morphosyntactic licensing component identified from our data. We also discuss implications for theories of locality and explore how context might affect the acceptability of wh-dependencies
Biology · Bridge (graph theory) · Linguistics · Anatomy · History · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Psychology · Speech and dialogue systems
| Unique citing works | 5 |
|---|---|
| Citations per year | 5 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |