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Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education
For training and validation, we relied on 179 participants and held out a test sample of 35 participants.
Language Models Explain Word Reading Times Better Than Empirical Predictability
(3) In recurrent neural networks (RNNs), the subsymbolic units are trained to predict the next word, given all preceding words in the sentences.
Individual corpora predict fast memory retrieval during reading
Then we trained word2vec models from individual corpora and a 70 million-sentence newspaper corpus to obtain individual and norm-based long-term memory structure.
Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning
Direct associations between stimulus words were controlled, and semantic feature overlap between prime and target words was manipulated by their common associates.
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