The Statistical Study of Literary Vocabulary

Greg, W. W.; Yule, George

doi:10.2307/3717870

Cited by 13 publications

(7 citation statements)

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“…For instance, one of the highest Yule's K for a JMS in the sample was: 'The International Journal of Educational Organization and Leadership inquiries into the nature and processes of effective educational administration and leadership'. The equation for calculating Yule's K is (source: Yule [66]) Source: The author based on SCImago journal ranking [6], Scopus [49] source list and journal websites. SJR: SCImago journal rank.…”

Section: Methods and Softwarementioning

confidence: 99%

Journal titles and mission statements: Lexical structure, diversity, and readability in business, management and accounting research

Cortés-Sánchez

2021

Journal of Information Science

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There is an established research agenda on dissecting an article’s components and their association with a journal’s prestige. However, journals’ titles and their overview, aim and scope (i.e. journal’s mission statement – JMS(s)) have not been investigated with the same diligence. This study aims to conduct a comprehensive outlook of titles and JMSs’ lexical structure and identify significant differences between journals prestige and type of access and their JMS content in the field of business, management and accounting (BMA), considering the field’s experience in developing and applying mission statements. Titles and JMSs’ structural analysis reflected current and critical discussion in BMA: a predilection for counterintuitive findings and information and communication technology (ICT) tools. JMSs expressed primarily target customers and markets. JMSs from reputable journals showed a higher betweenness for key-terms related to rigorous features. In contrast, JMSs of lower reputable journals highlighted indexing attributes. The Wilcoxon rank-sum and the Kruskal–Wallis tests showed significant differences in the JMSs’ median diversity regarding the journal’s type of access and best quartiles.

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Section: Methods and Softwarementioning

confidence: 99%

Journal titles and mission statements: Lexical structure, diversity, and readability in business, management and accounting research

Cortés-Sánchez

2021

Journal of Information Science

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“…McCarthy et al [145] proposed a method using the WordNet [146] resource for extracting semantic measures (Table 4) to analyze text on over 200 indices of cohesion and difficulty. Yule [147], Holmes [148], and Tweedie and Baayen [149] also explored the use of semantic features pertaining to vocabulary (Table 4) in the attribution of authors [150,151]. Hinh et al [18] explored incorporating semantic frames to provide a deeper view into the semantic level of texts, which is an influencing factor in a writer's style, by using a variety of online resources in a pipeline fashion to extract information about frames within the text.…”

Section: Semantic Featuresmentioning

confidence: 99%

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey

He,

Lashkari,

Vombatkere

et al. 2024

Information

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Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection of trade secrets, patent claims, copyright infringement, or cases of software theft. It helps new researchers understand the state-of-the-art works on authorship attribution methods, identify and examine the emerging methods for authorship attribution, and discuss their key concepts, associated challenges, and potential future work that could help newcomers in this field. This paper comprehensively surveys authorship attribution methods and their key classifications, used feature types, available datasets, model evaluation criteria and metrics, and challenges and limitations. In addition, we discuss the potential future research directions of the authorship attribution field based on the insights and lessons learned from this survey work.

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“…The term lexical richness was initially used in literary stylometric studies to refer to the size of a particular author's vocabulary (Yule, 1944). Although Yule's use of lexical richness referred specifically to a particular calculation of lexical diversity (Yule's K), researchers in applied linguistics have used the term more broadly.…”

Section: Defining Lexical Richnessmentioning

confidence: 99%

Measuring the development of lexical richness of L2 Spanish: A longitudinal learner corpus study

Díez-Ortega,

Kyle

2023

Stud Second Lang Acquis

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Research has indicated that lexical richness is an important indicator of second language (L2) proficiency. However, most research has examined written, cross-sectional English L2 corpora and does not necessarily indicate how spoken lexical use develops over time or whether observed trends are stable across L2s. This study adds to previous research on the development of spoken vocabulary by investigating lexical features of L2 Spanish learners over a 21-month period, using the LANGSNAP corpus. Multiple lexical richness indices used in previous studies were examined including lexical diversity, word frequency, word concreteness, and bigram strength of association. Linear mixed-effects models were run to examine changes over time. The results suggest that although some features of lexical richness (e.g., word frequency) see meaningful change over time, others (e.g., bigram T score) may not be indicative of L2 oral development.

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The Statistical Study of Literary Vocabulary

Cited by 13 publications

References 0 publications

Journal titles and mission statements: Lexical structure, diversity, and readability in business, management and accounting research

Journal titles and mission statements: Lexical structure, diversity, and readability in business, management and accounting research

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey

Measuring the development of lexical richness of L2 Spanish: A longitudinal learner corpus study

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