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Simple Search
Hits 1 – 10 of 10
1
A Lexical Frequency Analysis of Irish Sign Language
Hofmann, Markus
;
Smith, Robert G
In: Other Resources (2020)
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2
A Lexical Frequency Analysis of Irish Sign Language
Smith, Robert G.
;
Hofmann, Markus
In: Articles (2020)
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3
Sampling Techniques to Overcome Class Imbalance in a Cyberbullying Context
Hofmann, Markus
;
Colton, David
. - : Universitat Politècnica de València, 2019
BASE
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4
A qualitative analysis of the Wikipedia N-Substate Algorithm's Enhancement Terms
Goslin, Kyle
;
Hofmann, Markus
. - : Universitat Politècnica de València, 2019
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5
Non-Manual Articulators in Irish Sign Language Verbs: An Analysis with Data Mining Association Rules
Smith, Robert G
;
Hofmann, Markus
In: Conference Papers (2018)
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6
Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ...
Sannikumar Patel
;
Nolan, Brian
;
Hofmann, Markus
. - : Zenodo, 2017
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7
Sentiment Analysis: Comparative Analysis Of Multilingual Sentiment And Opinion Classification Techniques ...
Sannikumar Patel
;
Nolan, Brian
;
Hofmann, Markus
. - : Zenodo, 2017
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8
Mixing positive and negative valence ... : Affective-semantic integration of bivalent words ...
Kuhlmann, Michael
;
Hofmann, Markus
;
Briesemeister, Benny
. - : Freie Universität Berlin, 2016
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9
Sublexical units in aphasic jargon and in the standard language: Comparative analyses of neologisms in connected speech
Stenneken, Prisca
;
Hofmann, Markus
;
Jacobs, Arthur
In:
Aphasiology. - London [u.a.] : Routledge, Taylor & Francis Group
22 (2008) 11, 1142-1156
OLC Linguistik
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10
Frequency and predictability effects on event-related potentials during reading
Dambacher, Michael
;
Kliegl, Reinhold
;
Hofmann, Markus
;
Jacobs, Arthur
In: Brain Research ; 1084 (2006), 1. - S. 89-103. - ISSN 0006-8993 (2006)
Abstract:
Effects of frequency, predictability, and position of words on event-related potentials were assessed during word-by-word sentence reading in 48 subjects in an early and in a late time window corresponding to P200 and N400. Repeated measures multiple regression analyses revealed a P200 effect in the high-frequency range; also the P200 was larger on words at the beginning and end of sentences than on words in the middle of sentences (i.e., a quadratic effect of word position). Predictability strongly affected the N400 component; the effect was stronger for low than for high-frequency words. The P200 frequency effect indicates that high-frequency words are lexically accessed very fast, independent of context information. Effects on the N400 suggest that predictability strongly moderates the late access especially of low-frequency words. Thus, contextual facilitation on the N400 appears to reflect both lexical and post-lexical stages of word recognition, questioning a strict classification into lexical and post-lexical processes.
Keyword:
ddc:150
;
Event-related potentials
;
Lexical access
;
Reading
;
Repeated measures multiple regression analysis
;
Word frequency
;
Word predictability
URL:
https://doi.org/10.1016/j.brainres.2006.02.010
http://nbn-resolving.de/urn:nbn:de:bsz:352-147681
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