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Updating the dictionary: Semantic change identification based on change in bigrams over time
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In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 8, Iss 2 (2020) (2020)
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Numerical orthographic coding: merging Open Bigrams and Spatial Coding theories
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In: https://hal.archives-ouvertes.fr/hal-01687304 ; 2019 (2019)
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Тематические модели: добавление биграмм и учет сходства между униграммами и биграммами ... : Topic models: adding bigrams and taking account of the similarity between unigrams and bigrams ...
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Нокель, М.А.; Лукашевич, Н.В.. - : Научно-исследовательский вычислительный центр Московского государственного университета им. М.В. Ломоносова, 2015
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Letter order is not coded by open bigrams
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Abstract:
Open bigram (OB) models (e.g., SERIOL: Whitney, 2001, 2008; Binary OB, Grainger & van Heuven, 2003; Overlap OB, Grainger et al., 2006; Local combination detector model, Dehaene et al., 2005) posit that letter order in a word is coded by a set of ordered letter pairs. We report three experiments using bigram primes in the same-different match task, investigating the effects of order reversal and the number of letters intervening between the letters in the target. Reversed bigrams (e.g., fo-OF, ob-ABOLISH) produced robust priming, in direct contradiction to the assumption that letter order is coded by the presence of ordered letter pairs. Also in contradiction to the core assumption of current open bigram models, non-contiguous bigrams spanning three letters in the target (e.g., bs-ABOLISH) showed robust priming effects, equivalent in size to contiguous bigrams (e.g., bo-ABOLISH). These results question the role of open bigrams in coding letter order. ; 16 page(s)
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Keyword:
200400 Linguistics; letter order; open bigrams; orthographic representation
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URL: http://hdl.handle.net/1959.14/220313
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of London, UK Reviewed by:
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In: ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/10/6f/Front_Psychol_2011_Jun_21_2_136.tar.gz (2011)
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When ‘more’ in statistical learning means ‘less’ in language: individual differences in predictive processing of adjacent dependencies
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In: http://cnl.psych.cornell.edu/pubs/2010-mc-cogsci.pdf (2010)
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A Controlled Skip Parser
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In: ftp://ftp.isi.edu/pub/kyamada/skip.ps (1996)
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Word recognition in reading - Doctoral thesis ; L'identification des mots au cours de la lecture - Doctorat de Troisième Cycle en Psychologie
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In: https://hal.archives-ouvertes.fr/tel-01273401 ; Réseau de neurones [cs.NE]. Université de Provence (Aix-Marseille 1), 1983. Français (1983)
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Identifying Urdu Complex Predication via Bigram Extraction
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In: http://kops.uni-konstanz.de/bitstream/handle/123456789/29101/Butt_0-253654.pdf%3Bjsessionid%3DFB808089C5FA051ABD663CB35F558DA5?sequence%3D2
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Identifying Urdu Complex Predication via Bigram Extraction M iriam But t 1 T ina Bögel 1
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In: http://aclweb.org/anthology/C/C12/C12-1026.pdf
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Sentiment Analysis of Movie Reviews using POS tags and Term Frequencies
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In: http://research.ijcaonline.org/volume96/number25/pxc3897048.pdf
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