M Ean Taylor
Biographic Data
| ID | 754510 |
|---|---|
| NAME | M Ean Taylor |
| GIVEN NAMES | M Ean |
| FAMILY NAME | Taylor |
| SIGNATURE | TAYLOR M E |
| AFFILIATIONS | Doncaster Metropolitan Institute of Higher Education |
| ORCID | 0000-0001-8946-0211 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1982 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
Effects of a computer-based learning environment that teaches older adults how to install a smart home system
Underwriting whole lives
In ET8, October 1986, EAN TAYLOR wrote about arcane expressions used by banks and building societies in England. Now he considers the phraseology of British life insurance/assurance, its euphemisms and jargon, and would welcome information about parallel usages elsewhere
Functions of in-house language: Observations on data collected from some British financial institutions
The nonuse of available slang terms for cash among British bank and building society cashiers is noted and an explanation sought in the field of social control. The possible relevance of the Whorfian hypothesis is explored, and it is suggested that the in-house terms discussed have social and psychological functions in addition to the representational. (Financial terminology, social control, language functions, Whorfian hypothesis
Explicit models of language: A child's-eye view of language functions
Using Halliday's 'Relevant Models of Language' as a basis, this article reports a study undertaken with a 7-year-old girl, exploring her ability to explain language functions. It shows that, where a suitable metalanguage is possessed, a child can make explicit a multi-dimensional view of language; pace Halliday, the child's repertoire is seen to include a Ritual model
No prominent works on this page.
Explicit models of language: A child's-eye view of language functions
Using Halliday's 'Relevant Models of Language' as a basis, this article reports a study undertaken with a 7-year-old girl, exploring her ability to explain language functions. It shows that, where a suitable metalanguage is possessed, a child can make explicit a multi-dimensional view of language; pace Halliday, the child's repertoire is seen to include a Ritual model
Underwriting whole lives
In ET8, October 1986, EAN TAYLOR wrote about arcane expressions used by banks and building societies in England. Now he considers the phraseology of British life insurance/assurance, its euphemisms and jargon, and would welcome information about parallel usages elsewhere
Functions of in-house language: Observations on data collected from some British financial institutions
The nonuse of available slang terms for cash among British bank and building society cashiers is noted and an explanation sought in the field of social control. The possible relevance of the Whorfian hypothesis is explored, and it is suggested that the in-house terms discussed have social and psychological functions in addition to the representational. (Financial terminology, social control, language functions, Whorfian hypothesis
Effects of a computer-based learning environment that teaches older adults how to install a smart home system
Human-Interactive Robot Learning: Definition, Challenges, and Recommendations
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
Linguistics (3 works) · Philosophy (3 works) · Psychology (3 works) · Computer Science (2 works) · Mathematics (2 works) · Political science (2 works) · Actuarial science (1 works) · Art (1 works) · Artificial Intelligence (1 works) · Basis (linear algebra) (1 works)