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In the surprisal theory, the cost of processing a word is determined by its self-information, or how predictable the word is, given its context. A highly probable word carries a small amount of self-information and would therefore be processed easily, as measured by reduced reaction time , a smaller N400 response, or reduced fixation times in ...
Decodable text is a type of text often used in beginning reading instruction. Decodable texts are carefully sequenced to progressively incorporate words that are consistent with the letters and corresponding phonemes that have been taught to the new reader.
Reading by using phonics is often referred to as decoding words, sounding-out words or using print-to-sound relationships.Since phonics focuses on the sounds and letters within words (i.e. sublexical), [13] it is often contrasted with whole language (a word-level-up philosophy for teaching reading) and a compromise approach called balanced literacy (the attempt to combine whole language and ...
Lexical tokenization is conversion of a text into (semantically or syntactically) meaningful lexical tokens belonging to categories defined by a "lexer" program. In case of a natural language, those categories include nouns, verbs, adjectives, punctuations etc.
Pre-kindergarten (also called pre-K or PK) is a voluntary classroom-based preschool program for children below the age of five in the United States, Canada, Turkey and Greece (when kindergarten starts).
The formula is defined specifically by predictable narrative structure.Formulaic tales incorporate plots that have been reused so often as to be easily recognizable. Perhaps the most clearly formulaic plots characterize the romantic comedy genre; in a book or film labeled as such, viewers already know its most basic central plot, including to some extent the
Predictive text could allow for an entire word to be input by single keypress. Predictive text makes efficient use of fewer device keys to input writing into a text message, an e-mail, an address book, a calendar, and the like. The most widely used, general, predictive text systems are T9, iTap, eZiText, and LetterWise/WordWise. There are many ...
An example application is the problem of translating a natural language sentence into a syntactic representation such as a parse tree.This can be seen as a structured prediction problem [2] in which the structured output domain is the set of all possible parse trees.
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