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by
Muldoon, Micaela, author.
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, process word hybridizations for new and existing ideas, view nouns and adjectives from the angles of verbs
by
Das, Sourangshu, author.
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negative or positive texts and with the help of Bag-of-words method of Natural Language Processing we have
by
Ternasky, Harrison P., author.
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sought to exploit information processing differences between PTSD-diagnosed and non-diagnosed individuals
by
Biler, Alisha, author.
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connections to relieve the processing burden (Kintsch & Van Dijk, 1978). This claim is supported in the L1
by
Yamamoto, Ryosuke, author.
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explain the nature of L1 and L2 predictive sentence processing (e.g., Kaan, 2014). Research on processing
by
Fama, Mackenzie Elizabeth, author. (orcid)0000-0001-8549-7623
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context as a sense of being able to say a word in one's head, regardless of subsequent ability to say that
by
Blay, Afua Mmra, author.
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. Fundamental frequency, tonal alignment, word duration and intensity of the intonation contours produced were
by
Noraset, Thanapon, author. (orcid)0000-0002-7080-6523
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research, machine learning models can construct general vector representations of words, also known as word
by
Perdomo, Michelle, author.
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alternatives to phrasal verbs, which may indicate difficulty in accessing these multi-word constructions (Liao
by
Yang, Qian, author.
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separately act to determine initial encoding levels: information processing efficiency, processing time and
by
Parkins, Eric John, author.
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Information Processing. Analysis of residual scores indicated that of these individual tests the ones which
by
Mackenzie, Lewis Maclean, author.
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-particle nucleon states onto individual "bits" of a computer word, and are centred on the determination of the