Morphosyntactic Annotation in Literary Stylometry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A3A27SID5" target="_blank" >RIV/00216208:11320/25:3A27SID5 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191661643&doi=10.3390%2finfo15040211&partnerID=40&md5=5aa6226bc6eb75c947c9834da3ebbfc2" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191661643&doi=10.3390%2finfo15040211&partnerID=40&md5=5aa6226bc6eb75c947c9834da3ebbfc2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/info15040211" target="_blank" >10.3390/info15040211</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Morphosyntactic Annotation in Literary Stylometry

Popis výsledku v původním jazyce

This article investigates the stylometric usefulness of morphosyntactic annotation. Focusing on the style of literary texts, it argues that including morphosyntactic annotation in analyses of style has at least two important advantages: (1) maintaining a topic agnostic approach and (2) providing input variables that are interpretable in traditional grammatical terms. This study demonstrates how widely available Universal Dependency parsers can generate useful morphological and syntactic data for texts in a range of languages. These data can serve as the basis for input features that are strongly informative about the style of individual novels, as indicated by accuracy in classification tests. The interpretability of such features is demonstrated by a discussion of the weakness of an ""authorial"" signal as opposed to the clear distinction among individual works.

Název v anglickém jazyce

Morphosyntactic Annotation in Literary Stylometry

Popis výsledku anglicky

This article investigates the stylometric usefulness of morphosyntactic annotation. Focusing on the style of literary texts, it argues that including morphosyntactic annotation in analyses of style has at least two important advantages: (1) maintaining a topic agnostic approach and (2) providing input variables that are interpretable in traditional grammatical terms. This study demonstrates how widely available Universal Dependency parsers can generate useful morphological and syntactic data for texts in a range of languages. These data can serve as the basis for input features that are strongly informative about the style of individual novels, as indicated by accuracy in classification tests. The interpretability of such features is demonstrated by a discussion of the weakness of an ""authorial"" signal as opposed to the clear distinction among individual works.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

INFORMATION

ISSN

2078-2489

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

18

Strana od-do

1-18

Kód UT WoS článku

001210012500001

EID výsledku v databázi Scopus

2-s2.0-85191661643