Objectives: The purpose of this study was to investigate the characteristics text reading fluency error analysis Korean 1st and 2nd graders with developmental dyslexia considering semantic knowledge. Methods: Thirty dyslexic children were divided into two groups 15 children, one group poor vocabulary other not. Both had similar word decoding abilities as determined by Language based Reading Ass...

This article describes a lexical substitution dataset for German. The whole dataset contains 2,040 sentences from the German Wikipedia, with one target word in each sentence. There are 51 target nouns, 51 adjectives, and 51 verbs randomly selected from 3 frequency groups based on the lemma frequency list of the German WaCKy corpus. 200 sentences have been annotated by 4 professional annotators ...

ABSTRACT We use crowdsourcing to disambiguate 1000 words from among coarse-grained senses, the most extensive investigation to date. Ten unique participants disambiguate each example, and, using regression, we find surprising features which drive differential WSD accuracy: (a) the number of rephrasings within a sense definition is associated with higher accuracy; (b) as word frequency increases...

It is generally accepted that the left hemisphere (LH) is more capable for reading than the right hemisphere (RH). Left hemifield presentations (initially processed by the RH) lead to a globally higher error rate, slower word identification, and a significantly stronger word length effect (i.e., slower reaction times for longer words). Because the visuo-perceptual mechanisms of the brain for wo...

Transposed-letter effects (e.g., jugde activates judge) pose serious models for models of visual-word recognition that use position-specific coding schemes. However, even though the evidence of transposed-letter effects with nonword stimuli is strong, the evidence for word stimuli is scarce and inconclusive. The present experiment examined the effect of neighborhood frequency during normal sile...

The purpose of cross-domain sentiment classification (CDSC) is to fully utilize the rich labeled data in source domain help target perform even when are insufficient. Most existing methods focus on obtaining transferable semantic information but ignore syntactic information. performance BERT may decrease because transfer, and traditional word embeddings, such as word2vec, cannot obtain contextu...

Zipf's Law uncovers the relationship between word frequency and its rank. This paper addresses applicability of Zipf's Law in Chinese word frequency distribution. The previous studies on Zipf’s law in Chinese were primarily based on raw corpus, without word segmentation, hence there are obvious limitations. This study investigates the topic in several large-scale POS-tagged Chinese corpora. The...