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Certain words in the English language represent animal sounds: the noises and vocalizations of particular animals, especially noises used by animals for communication. The words can be used as verbs or interjections in addition to nouns , and many of them are also specifically onomatopoeic .
This article should specify the language of its non-English content, using {}, {{transliteration}} for transliterated languages, and {} for phonetic transcriptions, with an appropriate ISO 639 code. Wikipedia's multilingual support templates may also be used.
A talking animal or speaking animal is any non-human animal that can produce sounds or gestures resembling those of a human language. [1] Several species or groups of animals have developed forms of communication which superficially resemble verbal language, however, these usually are not considered a language because they lack one or more of the defining characteristics, e.g. grammar, syntax ...
The goat split is a process that has affected London dialects, Australian English, and Estuary English. [35] [36] In the first phase of the split, the diphthong of goat /əʊ/ developed an allophone [ɒʊ] before "dark" (nonprevocalic) /l/. Thus goal no longer had the same vowel as goat ([ɡɒʊɫ] vs. [ɡəʊʔ]). [35]
Discreteness: Language is composed of small, separate, and repeatable parts (discrete units, e.g. morphemes) that are used in combination to create meaning. Displacement: Language can be used to communicate about things that are not in the immediate vicinity either spatially or temporally. [6]
A transcription that gives only a basic idea of the sounds of a language in the broadest terms is called a broad transcription; in some cases, it may be equivalent to a phonemic transcription (only without any theoretical claims). A close transcription, indicating precise details of the sounds, is called a narrow transcription. They are not ...
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The input is then converted into a string of words, using dictionary and grammar of language A, based on a massive corpus of text in language A. The machine translation module then translates this string. Early systems replaced every word with a corresponding word in language B. Current systems do not use word-for-word translation, but rather ...
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