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Predictive text is an input technology used where one key or button represents many letters, such as on the physical numeric keypads of mobile phones and in accessibility technologies. Each key press results in a prediction rather than repeatedly sequencing through the same group of "letters" it represents, in the same, invariable order.
DIBELS (Dynamic Indicators of Basic Early Literacy Skills) is a series of short tests designed to evaluate key literacy skills among students in kindergarten through 8th grade, such as phonemic awareness, alphabetic principle, accuracy, fluency, and comprehension. The theory behind DIBELS is that giving students a number of quick tests, will ...
Literacy. v. t. e. Fountas & Pinnell reading levels (commonly referred to as "Fountas & Pinnell") are a proprietary system of reading levels developed by Irene Fountas and Gay Su Pinnell and published by Heinemann to support their Levelled Literacy Interventions (LLI) series of student readers and teacher resource products. [1]
Accelerated Reader (AR) is an educational program created by Renaissance Learning. It is designed to monitor and manage students' independent reading practice and comprehension in both English and Spanish. The program assesses students' performance through quizzes and tests based on the books they have read.
"The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...
The system needs a lexicon of the language and a parser and grammar rules to break sentences into an internal representation. The construction of a rich lexicon with a suitable ontology requires significant effort, e.g., the Wordnet lexicon required many person-years of effort. [27] The system also needs theory from semantics to guide the ...
A language model is a probabilistic model of a natural language. [1] In 1980, the first significant statistical language model was proposed, and during the decade IBM performed ‘Shannon-style’ experiments, in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
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