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New word recognition capabilities have made computer-based learning programs more effective and reliable. [8] Improved technology has enabled eye-tracking, which monitors individuals' saccadic eye movements while they read. This has furthered understanding of how certain patterns of eye movement increases word recognition and processing.
Hyperlexia is a syndrome characterized by a child's precocious ability to read.It was initially identified by Norman E. Silberberg and Margaret C. Silberberg (1967), who defined it as the precocious ability to read words without prior training in learning to read, typically before the age of five.
Formerly ClarisWorks Word Processing, also an older and unrelated application for Apple II. Succeeded by iWork. Amí: Windows: developed and marketed by Samna: Apple Writer: Apple II, Apple III: SuperWriter: Apricot Portable: Built-in word processor in Apricot Computers devices Authorea: word processor for students and researchers AstroType ...
Dyslexia is a heterogeneous, dimensional learning disorder that impairs accurate and fluent word reading and spelling. [65] [66] Typical—but not universal—features include difficulties with phonological awareness; inefficient and often inaccurate processing of sounds in oral language (phonological processing); and verbal working memory ...
A word processing function is an essential part of an office suite, for example Writer in LibreOffice and Word in Microsoft Office. With the emergence of the internet, different cloud-based word processor programs emerged such as Google Docs and then later Collabora Online and Microsoft Office on the web which enable people to relatively more ...
For these dyslexic readers, learning to decode words may take a long time—indeed, in the deepest orthographies a distinctive symptom of dyslexia is the inability to read at the word level—but many dyslexic readers have fewer problems with fluency and comprehension once some level of decoding has been mastered.
In corpus linguistics a key word is a word which occurs in a text more often than we would expect to occur by chance alone. [1] Key words are calculated by carrying out a statistical test (e.g., loglinear or chi-squared) which compares the word frequencies in a text against their expected frequencies derived in a much larger corpus, which acts as a reference for general language use.
For this problem, we are typically given a list of words and associated word senses, e.g. from a dictionary or from an online resource such as WordNet. Word-sense induction – open problem of natural-language processing, which concerns the automatic identification of the senses of a word (i.e. meanings). Given that the output of word-sense ...