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Thomas Proisl

Biographic Data

ID6701175
NAMEThomas Proisl
GIVEN NAMESThomas
FAMILY NAMEProisl
SIGNATUREPROISL T
AFFILIATIONSFriedrich-Alexander-Universität Erlangen-Nürnberg
ORCID0000-0001-5513-9075
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Use words, not constructions

    Open Access•Thomas Proisl•ARTICLE•International Journal of Corpus…•2022•References: 6

    The aim of collostructional analysis or, more precisely, simple collexeme analysis, is to quantify the statistical association between a construction c and a lexeme l that occurs in a particular slot of the construction. The analysis is based on 2×2 contingency tables that ought to represent a cross-classification of the units of analysis. So far, the units of analysis have been identified either as all constructions in the corpus or all instance…

  • Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates

    Peter Uhrig, Thomas Proisl•ARTICLE•Lexicographica - International…•2012

    Article Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates was published on December 1, 2012 in the journal Lexicographica (volume 28, issue 2012)

No prominent works on this page.

  • Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates

    Peter Uhrig, Thomas Proisl•ARTICLE•Lexicographica - International…•2012

    Article Less hay, more needles – using dependency-annotated corpora to provide lexicographers with more accurate lists of collocation candidates was published on December 1, 2012 in the journal Lexicographica (volume 28, issue 2012)

  • Use words, not constructions

    Open Access•Thomas Proisl•ARTICLE•International Journal of Corpus…•2022•References: 6

    The aim of collostructional analysis or, more precisely, simple collexeme analysis, is to quantify the statistical association between a construction c and a lexeme l that occurs in a particular slot of the construction. The analysis is based on 2×2 contingency tables that ought to represent a cross-classification of the units of analysis. So far, the units of analysis have been identified either as all constructions in the corpus or all instance…

Artificial Intelligence (2 works) · Computer Science (2 works) · Linguistics (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Philosophy (2 works) · Biology (1 work) · Botany (1 work) · Class (philosophy (1 work) · Contingency (1 work)

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