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A sentence diagram is a pictorial representation of the grammatical structure of a sentence. The term "sentence diagram" is used more when teaching written language, where sentences are diagrammed. The model shows the relations between words and the nature of sentence structure and can be used as a tool to help recognize which potential ...
Reading comprehension and vocabulary are inextricably linked together. The ability to decode or identify and pronounce words is self-evidently important, but knowing what the words mean has a major and direct effect on knowing what any specific passage means while skimming a reading material.
Reciprocal teaching is an amalgamation of reading strategies that effective readers are thought to use. As stated by Pilonieta and Medina in their article "Reciprocal Teaching for the Primary Grades: We Can Do It, Too!", previous research conducted by Kincade and Beach (1996 ) indicates that proficient readers use specific comprehension strategies in their reading tasks, while poor readers do ...
Answering questions related to an article in order to evaluate reading comprehension is one of the simpler form of question answering, since a given article is relatively short compared to the domains of other types of question-answering problems. An example of such a question is "What did Albert Einstein win the Nobel Prize for?"
SQRRR or SQ3R is a reading comprehension method named for its five steps: survey, question, read, recite, and review.The method was introduced by Francis P. Robinson in his 1941 book Effective Study.
Sentence processing takes place whenever a reader or listener processes a language utterance, either in isolation or in the context of a conversation or a text. Many studies of the human language comprehension process have focused on reading of single utterances (sentences) without context.
Cloze probability reflects the expectancy of a target word given the context of the sentence, which is determined by the percentage of individuals who supply the word when completing a sentence whose final word is missing. Kutas and colleagues found that the N400 to sentences final words with cloze probability of 90% was smaller (i.e., more ...
Some unsupervised summarization approaches are based on finding a "centroid" sentence, which is the mean word vector of all the sentences in the document. Then the sentences can be ranked with regard to their similarity to this centroid sentence. A more principled way to estimate sentence importance is using random walks and eigenvector centrality.
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