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CMUdict can be used as a training corpus for building statistical grapheme-to-phoneme (g2p) models [1] that will generate pronunciations for words not yet included in the dictionary. The most recent release is 0.7b; it contains over 134,000 entries. An interactive lookup version is available. [2]
View a machine-translated version of the Spanish article. Machine translation, like DeepL or Google Translate , is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia.
To determine which words are the most common, researchers create a database of all the words found in the corpus, and categorise them based on the context in which they are used. The first table lists the 100 most common word forms from the Corpus de Referencia del Español Actual (CREA), a text corpus compiled by the Real Academia Española (RAE).
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Those are the values that go out via the API, and users can choose to look up more information or context in the larger database, including location, frequency, level of offensiveness, and so on.
The dictionary contains 157,000 combinations and derivatives, and 169,000 phrases and combinations, making a total of over 600,000 word-forms. [37][38] A dictionary of orthography. Contains 253,000 entries (253,000 words). [44][45] Nine volumes of this dictionary were printed in years 1935–1957.
WordNet is a lexical database of semantic relations between words that links words into semantic relations including synonyms, hyponyms, and meronyms. The synonyms are grouped into synsets with short definitions and usage examples. It can thus be seen as a combination and extension of a dictionary and thesaurus.
The one thing I could see holding Casetext back is its database, which is currently limited to the US Supreme Court, federal appellate courts, some federal District Court decisions, and Delaware.