| 000 | 02417nam a2200409 i 4500 | ||
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| 001 | CR9781108974851 | ||
| 003 | UkCbUP | ||
| 005 | 20260610102100.0 | ||
| 007 | cr ||||||||||| | ||
| 008 | 230215s2023 enka fob 000|0|eng|d | ||
| 020 |
_a9781108974851 _qebook _cNo price |
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_z9781108971386 _qpaperback _cNo price |
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| 024 | 7 |
_a10.1017/9781108974851 _2doi |
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| 040 |
_aStDuBDS _beng _cStDuBDS _erda _epn |
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| 050 | 4 |
_aP98 _b.N5 2023 |
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| 082 | 0 | 4 |
_a410.285 _223 |
| 100 | 1 |
_aNini, Andrea, _eauthor. |
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| 245 | 1 | 2 |
_aA theory of linguistic individuality for authorship analysis / _cAndrea Nini. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2023. |
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| 300 |
_a1 online resource (96 pages) : _billustrations (black and white), digital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 336 |
_astill image _bsti _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aCambridge elements. Elements in forensic linguistics, _x2634-7334 |
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| 500 | _aAlso issued in print: 2023. | ||
| 504 | _aIncludes bibliographical references. | ||
| 520 | 8 | _aAuthorship analysis is the process of determining who produced a questioned text by language analysis. Although there has been significant success in the performance of computational methods to solve this problem in recent years, these are often methods that are not amenable to interpretation. Authorship analysis is in all effects an area of computer science with very little linguistics or cognitive science. This Element introduces a Theory of Linguistic Individuality that, starting from basic notions of cognitive linguistics, establishes a formal framework for the mathematical modelling of language processing that is then applied to three computational experiments, including using the likelihood ratio framework. The results propose new avenues of research and a change of perspective in the way authorship analysis is currently carried out.. | |
| 521 | _aSpecialized. | ||
| 588 | _aDescription based on online resource; title from PDF title page (viewed on May 29, 2023). | ||
| 650 | 0 |
_aAuthorship _xData processing. |
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| 650 | 0 |
_aNatural language processing (Computer science) _xMathematical models. |
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| 776 | 0 | 8 |
_iPrint version : _z9781108971386 |
| 830 | 0 |
_aCambridge elements, _x2634-7334. |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781108974851 |
| 999 |
_c10510 _d10510 |
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