Jumbly Grindrod
Biographic Data
| ID | 5966629 |
|---|---|
| NAME | Jumbly Grindrod |
| GIVEN NAMES | Jumbly |
| FAMILY NAME | Grindrod |
| SIGNATURE | GRINDROD J |
| AFFILIATIONS | University of Reading |
| ORCID | 0000-0001-8684-974X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Transformers, Contextualism, and Polysemy
The transformer architecture, introduced by Vaswani et al. (2017), is at the heart of the remarkable recent progress in the development of language models, including widely-used chatbots such as Chat-GPT and Claude. In this paper, I argue that we can extract from the way the transformer architecture works a theory of the relationship between context and meaning. I call this the transformer theory, and I argue that it is novel with regard to two r…
Modelling language using large language models
This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity. Once this is recognized, the value of large language models as scientific models becomes clear. This paper defends the position against a numb…
Large language models and linguistic intentionality
Do large language models like Chat-GPT or Claude meaningfully use the words they produce? Or are they merely clever prediction machines, simulating language use by producing statistically plausible text? There have already been some initial attempts to answer this question by showing that these models meet the criteria for entering meaningful states according to metasemantic theories of mental content. In this paper, I will argue for a different …
A defence of conceptual analysis as a linguistic endeavour
In this paper, I outline and defend a traditional yet controversial view of conceptual analysis, particularly as it is used in epistemology. I will defend the view against a number of objections, all of which focus on the idea that conceptual analysis relies upon linguistic intuitions. Rather than trying to deny this claim, I will seek to vindicate the use of conceptual analysis within epistemology even given its reliance on linguistic intuitions…
Questions Under Discussion and the Semantics/Pragmatics Divide
The ‘question under discussion’ (or ‘QUD’) framework is a pragmatic framework that draws on work in the semantics of questions to provide an appealing account of a range of pragmatic phenomena, including the use of prosodic focus in English and restrictions on acceptable discourse moves. More recently, however, a number of proposals have attempted to use the framework to help to settle issues at the semantics/pragmatics boundary, fixing the truth…
Questions Under Discussion and the Semantics/Pragmatics Divide
The ‘question under discussion’ (or ‘QUD’) framework is a pragmatic framework that draws on work in the semantics of questions to provide an appealing account of a range of pragmatic phenomena, including the use of prosodic focus in English and restrictions on acceptable discourse moves. More recently, however, a number of proposals have attempted to use the framework to help to settle issues at the semantics/pragmatics boundary, fixing the truth…
Questions Under Discussion and the Semantics/Pragmatics Divide
The ‘question under discussion’ (or ‘QUD’) framework is a pragmatic framework that draws on work in the semantics of questions to provide an appealing account of a range of pragmatic phenomena, including the use of prosodic focus in English and restrictions on acceptable discourse moves. More recently, however, a number of proposals have attempted to use the framework to help to settle issues at the semantics/pragmatics boundary, fixing the truth…
A defence of conceptual analysis as a linguistic endeavour
In this paper, I outline and defend a traditional yet controversial view of conceptual analysis, particularly as it is used in epistemology. I will defend the view against a number of objections, all of which focus on the idea that conceptual analysis relies upon linguistic intuitions. Rather than trying to deny this claim, I will seek to vindicate the use of conceptual analysis within epistemology even given its reliance on linguistic intuitions…
Large language models and linguistic intentionality
Do large language models like Chat-GPT or Claude meaningfully use the words they produce? Or are they merely clever prediction machines, simulating language use by producing statistically plausible text? There have already been some initial attempts to answer this question by showing that these models meet the criteria for entering meaningful states according to metasemantic theories of mental content. In this paper, I will argue for a different …
Transformers, Contextualism, and Polysemy
The transformer architecture, introduced by Vaswani et al. (2017), is at the heart of the remarkable recent progress in the development of language models, including widely-used chatbots such as Chat-GPT and Claude. In this paper, I argue that we can extract from the way the transformer architecture works a theory of the relationship between context and meaning. I call this the transformer theory, and I argue that it is novel with regard to two r…
Modelling language using large language models
This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity. Once this is recognized, the value of large language models as scientific models becomes clear. This paper defends the position against a numb…
Epistemology (3 works) · Linguistics (3 works) · Philosophy (3 works) · Computer Science (2 works) · Epistemology, Ethics, and Metaphysics (2 works) · Focus (optics) (2 works) · Language and cultural evolution (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Categorization, perception, and language (1 works)