Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Christof Schöch

Biographic Data

ID6834980
NAMEChristof Schöch
GIVEN NAMESChristof
FAMILY NAMESchöch
SIGNATURESCHÖCH C
AFFILIATIONSUniversity of Göttingen
ORCID0000-0002-4557-2753
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR1924
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Expertise vs. statistics. A qualitative evaluation of three keyness measures (logarithmic Zeta, Welch’s t-test, and Log-likelihood ratio test) applied to subgenres of the French novel

    Open Access•Julia Röttgermann, Keli Du et al.•ARTICLE•Digital humanities quarterly•2025

    This paper continues an ongoing investigation of measures of distinctiveness (also known as keyness measures), this time employing a qualitative, comparative evaluation of three different measures: logarithmic Zeta, Welch’s t-test, and Log-likelihood ratio test. Our domain of application is the contemporary French novel, more specifically four types of French novels from the period 1970-1999, namely: sentimental novel, crime novel, science fictio…

  • Classifying and Contextualizing Edits in Variants with Coleto

    Open Access•Erik Ketzan, Christof Schöch•ARTICLE•Digital humanities quarterly•2021

    This paper introduces Coleto, an automatic collation tool for the comparison of variant texts in English, German, or French, which separates edits from variant texts so that textual changes can be classified and contextualized. Coleto’s proposed methodology for the classification of edits in variants includes: major/minor expansion, major/minor condensation, changes to numbers and whitespace, and common orthographic features. From this classifica…

  • From Keyness to Distinctiveness – Triangulation and Evaluation in Computational Literary Studies

    Julian Schröter, Keli Du et al.•ARTICLE•Journal of Literary Theory•2021

    There is a set of statistical measures developed mostly in corpus and computational linguistics and information retrieval, known as keyness measures, which are generally expected to detect textual features that account for differences between two texts or groups of texts. These measures are based on the frequency, distribution, or dispersion of words (or other features). Searching for relevant differences or similarities between two text groups i…

  • Zbornik konference Jezikovne tehnologije in digitalna humanistika

    Darja Fišer, Andrej Pančur et al.•BOOK•Zbornik konference Jezikovne…•2018

    With this year's conference we are celebrating the 20th anniversary since the first conference »Language technologies« which took place in 1998 in Cankarjev dom, Ljubljana and was organized by Tomaž Erjavec, Vojko Gorjanc, Jerneja Žganec Gros and Anica Rant. The topics of the first conference were the development and application of language technologies for Slovene and directions for the future. 26 papers were presented, dealing with speech techn…

  • Revisiting Style, a Key Concept in Literary Studies

    J Berenike Herrmann, Karina Van Dalen-Oskam et al.•ARTICLE•Journal of Literary Theory•2015•Cited by: 2•References: 5

    Language and literary studies have studied style for centuries, and even since the advent of ›stylistics‹ as a discipline at the beginning of the twentieth century, definitions of ›style‹ have varied heavily across time, space and fields. Today, with increasingly large collections of literary texts being made available in digital form, computational approaches to literary style are proliferating. New methods from disciplines such as corpus lingui…

  • Een-en twintigste jaarverslag van het Van Eeden-fonds

    Open Access•C F Schoch, Christof Schöch et al.•ARTICLE•New West Indian Guide / Nieuwe…•1924

    groote zending herbarium

  • Revisiting Style, a Key Concept in Literary Studies

    J Berenike Herrmann, Karina Van Dalen-Oskam et al.•ARTICLE•Journal of Literary Theory•2015•Cited by: 2•References: 5

    Language and literary studies have studied style for centuries, and even since the advent of ›stylistics‹ as a discipline at the beginning of the twentieth century, definitions of ›style‹ have varied heavily across time, space and fields. Today, with increasingly large collections of literary texts being made available in digital form, computational approaches to literary style are proliferating. New methods from disciplines such as corpus lingui…

  • Een-en twintigste jaarverslag van het Van Eeden-fonds

    Open Access•C F Schoch, Christof Schöch et al.•ARTICLE•New West Indian Guide / Nieuwe…•1924

    groote zending herbarium

  • Revisiting Style, a Key Concept in Literary Studies

    J Berenike Herrmann, Karina Van Dalen-Oskam et al.•ARTICLE•Journal of Literary Theory•2015•Cited by: 2•References: 5

    Language and literary studies have studied style for centuries, and even since the advent of ›stylistics‹ as a discipline at the beginning of the twentieth century, definitions of ›style‹ have varied heavily across time, space and fields. Today, with increasingly large collections of literary texts being made available in digital form, computational approaches to literary style are proliferating. New methods from disciplines such as corpus lingui…

  • Zbornik konference Jezikovne tehnologije in digitalna humanistika

    Darja Fišer, Andrej Pančur et al.•BOOK•Zbornik konference Jezikovne…•2018

    With this year's conference we are celebrating the 20th anniversary since the first conference »Language technologies« which took place in 1998 in Cankarjev dom, Ljubljana and was organized by Tomaž Erjavec, Vojko Gorjanc, Jerneja Žganec Gros and Anica Rant. The topics of the first conference were the development and application of language technologies for Slovene and directions for the future. 26 papers were presented, dealing with speech techn…

  • Classifying and Contextualizing Edits in Variants with Coleto

    Open Access•Erik Ketzan, Christof Schöch•ARTICLE•Digital humanities quarterly•2021

    This paper introduces Coleto, an automatic collation tool for the comparison of variant texts in English, German, or French, which separates edits from variant texts so that textual changes can be classified and contextualized. Coleto’s proposed methodology for the classification of edits in variants includes: major/minor expansion, major/minor condensation, changes to numbers and whitespace, and common orthographic features. From this classifica…

  • From Keyness to Distinctiveness – Triangulation and Evaluation in Computational Literary Studies

    Julian Schröter, Keli Du et al.•ARTICLE•Journal of Literary Theory•2021

    There is a set of statistical measures developed mostly in corpus and computational linguistics and information retrieval, known as keyness measures, which are generally expected to detect textual features that account for differences between two texts or groups of texts. These measures are based on the frequency, distribution, or dispersion of words (or other features). Searching for relevant differences or similarities between two text groups i…

  • Expertise vs. statistics. A qualitative evaluation of three keyness measures (logarithmic Zeta, Welch’s t-test, and Log-likelihood ratio test) applied to subgenres of the French novel

    Open Access•Julia Röttgermann, Keli Du et al.•ARTICLE•Digital humanities quarterly•2025

    This paper continues an ongoing investigation of measures of distinctiveness (also known as keyness measures), this time employing a qualitative, comparative evaluation of three different measures: logarithmic Zeta, Welch’s t-test, and Log-likelihood ratio test. Our domain of application is the contemporary French novel, more specifically four types of French novels from the period 1970-1999, namely: sentimental novel, crime novel, science fictio…

Authorship Attribution and Profiling (4 works) · Natural Language Processing Techniques (2 works) · Optimal distinctiveness theory (2 works) · Psychology (2 works) · Text Readability and Simplification (2 works) · Art (1 works) · Biology (1 works) · Collation (1 works) · Computer Science (1 works) · Corpus linguistics (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae