Discursive Quads
New Kinds of Lexical Co‐occurrence Data With Linguistic Concept Modelling
Bibliographic Data
| ID | 21418889 |
|---|---|
| Authors | Seth Mehl (0000-0003-3036-8132, University of Sheffield, corresponding author) |
| Year | 2022 |
| Volume | 120 |
| Issue | 3 |
| Pages | 474-488 |
| Publication date | 2022-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transactions of the Philological Society (JOURNAL) |
| Journal identifiers | ISSN: 0079-1636 • E-ISSN: 1467-968X |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/1467-968x.12251 |
| OpenAlex | W3159484279 |
| Language | EN |
| Citations received | 4 |
| References cited | 22 |
This paper introduces linguistic concept modelling, a new computational approach to humanities‐driven analysis of meaning in large text collections, and presents illustrative examples of the approach applied to over one billion words of printed Early Modern English contained in Early English Books Online (Text Creation Partnership edition). Linguistic concept modelling methods and innovations are described in detail, and justified as a unique, new, powerful means for studying meaning in texts in relation to individual lexical items, sets of lexical items and entire text collections. Linguistic concept modelling is compared to established approaches of distributional semantics and topic modelling, to show how linguistic concept modelling overcomes the limitations of those approaches to support humanities research. Examples demonstrate how our approach can be used to explore and analyse semantic, pragmatic and discursive meaning in texts, highlighting the novel observations that our approach affords, and its benefits for humanities scholars
Epistemology · General partnership · Linguistics · Meaning (existential) · Natural language processing · Relation (database) · Semantics (computer science) · Advanced Text Analysis Techniques · Artificial Intelligence · Computer Science · Natural Language Processing Techniques · Philosophy · Topic Modeling
Theories of Lexical Semantics
Using Corpora in Discourse Analysis
From Frequency to Meaning
A vector space model for automatic indexing
An Academic Formulas List
Systematically Detecting Patterns of Social, Historical and Linguistic Change
The Sketch Engine
Volatile concepts
The shapes of collocation
Aligning Packed Dependency Trees
Dependency-Based Construction of Semantic Space Models
The utility of topic modelling for discourse studies
Using distributional semantics to study syntactic productivity in diachrony
| Citations per year | 0.8 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |