Reading comprehension ability consists of multiple cognitive processes, and cloze tests have long been claimed to measure this ability as a whole. However, since the introduction of cloze test, different varieties of it have been proposed by the testers. Thus, the present study was an attempt to examine the relatedness of Cloze-Elide test, Multiple-choice (MC) cloze test, and C-test as three di...

Do negative quantifiers like "few" reduce people's ability to rapidly evaluate incoming language with respect to world knowledge? Previous research has addressed this question by examining whether online measures of quantifier comprehension match the "final" interpretation reflected in verification judgments. However, these studies confounded quantifier valence with its impact on the unfolding ...

We describe the automated generation and use of 69,326 comprehension cloze questions and 5,668 vocabulary matching questions in the 2001-2002 version of Project LISTEN’s Reading Tutor used by 364 students in grades 1-9 at seven schools. To validate our methods, we used students’ performance on these multiple-choice questions to predict their scores on the Woodcock Reading Mastery Test. A model ...

Can automatically generated questions scaffold reading comprehension? We automated three kinds of multiple-choice questions in children’s assisted reading: 1. Whquestions: ask a generically worded What/Where/When question. 2. Sentence prediction: ask which of three sentences belongs next. 3. Cloze: ask which of four words best fills in a blank in the next sentence. A within-subject experiment i...

In English reading, Banked Cloze has always been the key and difficult point in examination. Students generally report that is quite to handle. The purpose of this study clarify relationship between reading comprehension metacognitive strategies Cloze, understand how college students use test, so as find effective methods help students’ their CET.

Individuals with dyslexia show deficits in phonological abilities, rapid automatized naming, short-term/working memory, processing speed, and some aspects of sensory visual processing. There is currently one report the literature that individuals also impairments linguistic prediction. The current study sought to investigate prediction language dyslexia. Forty-one adults 43 typically-developing...

Recent success of deep learning models for the task of extractive Question Answering (QA) is hinged on the availability of large annotated corpora. However, large domain specific annotated corpora are limited and expensive to construct. In this work, we envision a system where the end user specifies a set of base documents and only a few labelled examples. Our system exploits the document struc...

This event-related potential study examined the impact of imitating an unfamiliar accent on the processing of spoken words embedded in sentential contexts produced in that accent. The cloze probability effect in two groups of southern French speakers after they had to either listen to or imitate sentences spoken by a Belgian French speaker was tested. Speakers who did not imitate the unfamiliar...

Cloze-style queries are representative problems in reading comprehension. Over the past few months, we have seen much progress that utilizing neural network approach to solve Cloze-style questions. In this paper, we present a novel model called attention-over-attention reader for the Cloze-style reading comprehension task. Our model aims to place another attention mechanism over the document-le...

Computer “reading” of natural languages is a growing research topic with numerous applications, ranging from areas of artificial intelligence to linguistics. A successful “reading” of natural languages can be interpreted in two ways: 1) extracting facts out of a passage and 2) capturing “meaning” of a text. We focus on the latter interpretation, defining “meaning” as is done in humans, namely, ...