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A aggravate – Some have argued that this word should not be used in the sense of "to annoy" or "to oppress", but only to mean "to make worse". According to AHDI, the use of "aggravate" as "annoy" occurs in English as far back as the 17th century. In Latin, from which the word was borrowed, both meanings were used. Sixty-eight percent of AHD4's usage panel approves of its use in "It's the ...
Modal verbs have a wide variety of communicative functions, but these functions can generally be related to a scale ranging from possibility ("may") to necessity ("must"), in terms of one of the following types of modality:
The English modal auxiliary verbs are a subset of the English auxiliary verbs used mostly to express modality, properties such as possibility and obligation. [a] They can most easily be distinguished from other verbs by their defectiveness (they do not have participles or plain forms [b]) and by their lack of the ending ‑(e)s for the third-person singular.
Spell checkers can use approximate string matching algorithms such as Levenshtein distance to find correct spellings of misspelled words. [1] An alternative type of spell checker uses solely statistical information, such as n-grams, to recognize errors instead of correctly-spelled words. This approach usually requires a lot of effort to obtain ...
Words that function as compound adjectives may modify a noun or a noun phrase.Take the English examples heavy metal detector and heavy-metal detector.The former example contains only the bare adjective heavy to describe a device that is properly written as metal detector; the latter example contains the phrase heavy-metal, which is a compound noun that is ordinarily rendered as heavy metal ...
Word recognition, according to Literacy Information and Communication System (LINCS) is "the ability of a reader to recognize written words correctly and virtually effortlessly". It is sometimes referred to as "isolated word recognition" because it involves a reader's ability to recognize words individually from a list without needing similar ...
The word with embeddings most similar to the topic vector might be assigned as the topic's title, whereas far away word embeddings may be considered unrelated. As opposed to other topic models such as LDA , top2vec provides canonical ‘distance’ metrics between two topics, or between a topic and another embeddings (word, document, or otherwise).
Words in one class can sometimes be derived from those in another. This has the potential to give rise to new words. For example, the noun aerobics has given rise to the adjective aerobicized. [3] Words combine to form phrases. A phrase typically serves the same function as a word from some particular word class. [3]