Semantic Roles or Syntactic Functions
The Effects of Annotation Scheme on the Results of Dependency Measures
Bibliographic Data
| ID | 21398807 |
|---|---|
| Authors | Jianwei Yan (0000-0002-2785-954X, Department of Linguistics Zhejiang University Xihu District Hangzhou 310058 P. R. China, corresponding author), Haitao Liu (0000-0003-1724-4418, Department of Linguistics Zhejiang University Xihu District Hangzhou 310058 P. R. China, corresponding author) |
| Year | 2022 |
| Volume | 76 |
| Issue | 2 |
| Pages | 406-428 |
| Publication date | 2022-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studia Linguistica (JOURNAL) |
| Journal identifiers | ISSN: 0039-3193 • E-ISSN: 1467-9582 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/stul.12177 |
| OpenAlex | W3208429665 |
| Language | EN |
| Citations received | 11 |
| References cited | 36 |
The annotation scheme of dependency treebanks might have an impact on the results of linguistic analysis, thus leading to different interpretations of linguistic phenomena. This study compares the results of two widely used dependency measures, i.e., dependency direction and dependency distance, based on 18 parallel Universal Dependencies (UD) annotated treebanks and 18 corresponding Surface‐Syntactic Universal Dependencies (SUD) annotated treebanks. The results show that (1) Based on the semantic UD and syntactic SUD, dependency relations between function words and content words share the opposite dependency directions but similar dependency distances; (2) Annotation scheme has a significant impact on dependency direction, though the effect size is small. We find that the proportions of head‐final dependencies based on the syntactic SUD can better group language families than those based on semantic UD; (3) Annotation scheme also affects dependency distance significantly, though its effect size is small. Mean dependency distances (MDDs) based on UD are always higher than those based on SUD. However, the MDDs based on both annotation schemes are within a certain threshold, which shows that the linguistic universal of dependency distance minimization is independent of annotation schemes
Annotation · Dependency (UML) · Dependency grammar · Function (biology) · Natural language processing · Scheme (mathematics) · Artificial Intelligence · Authorship Attribution and Profiling · Computer Science · Mathematics · Natural Language Processing Techniques · Topic Modeling
A dependency-based analysis of the cognitive load of Chinese contracted sentences
Syntactic and typological properties of constrained language
A lexical network approach to second language development
The role of statistical learning in the L2 acquisition and use of nonadjacent predicate-argument constructions
Basic word order typology revisited
Revisiting English written VP-ellipsis and VP-substitution
Quantitative relationship between distribution of sentence length and dependency distance in Spanish
A quantitative investigation of the ellipsis of English relativizers
Which dependency distance measure best reflects cognitive abilities? Evidence from oral production of older adults with varying cognitive levels
Syntactic functions of words grammatically related to verbs in interlanguage
Decomposing dependency analysis
Analyzing Linguistic Data
Some Tests of the Decay Theory of Immediate Memory
The magical number 4 in short-term memory
Dependency Distance as a Metric of Language Comprehension Difficulty
Large-scale evidence of dependency length minimization in 37 languages
Dependency distance
Fitting Linear Mixed-Effects Models Using lme4
LmerTest Package
World Atlas of Language Structures
Morphology and word order in Slavic languages
The magical number seven, plus or minus two
Working Memory Capacity
Dependency Grammar
The effects of sentence length on dependency distance, dependency direction and the implications-Based on a parallel English-Chinese dependency treebank
The effects of genre on dependency distance and dependency direction
Dependency direction as a means of word-order typology
| Citations per year | 2.2 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |