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There is one count that puts the English vocabulary at about 1 million words—but that count presumably includes words such as Latin species names, prefixed and suffixed words, scientific terminology, jargon, foreign words of extremely limited English use and technical acronyms. [39] [40] [41] Urdu: 264,000
Some lists of common words distinguish between word forms, while others rank all forms of a word as a single lexeme (the form of the word as it would appear in a dictionary). For example, the lexeme be (as in to be ) comprises all its conjugations ( is , was , am , are , were , etc.), and contractions of those conjugations. [ 5 ]
LexSite non-collaborative English-Russian dictionary with contextual phrases; Linguee collaborative dictionary and contextual sentences; Madura English-Sinhala Dictionary free English to Sinhala and vice versa; Multitran multilingual online dictionary centered on Russian, and provides an opportunity of adding own translation
List of American words not widely used in the United Kingdom; List of British words not widely used in the United States; List of South African English regionalisms; List of words having different meanings in American and British English: A–L; List of words having different meanings in American and British English: M–Z
An individual person's vocabulary includes an passive vocabulary of words they can recognize or understand, as well as an active vocabulary of words they regularly use in speech and writing. [2] In semiotics , vocabulary refers to the complete set of symbols and signs in a sign system or a text, extending the definition beyond purely verbal ...
The compilation excludes nouns, which comprise a separate 95-word list. According to Dolch, between 50% and 75% of all words used in schoolbooks, library books, newspapers, and magazines are a part of the Dolch basic sight word vocabulary; however, bear in mind that he compiled this list in 1936.
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The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity.