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Homographs are words with the same spelling but having more than one meaning. Homographs may be pronounced the same (), or they may be pronounced differently (heteronyms, also known as heterophones).
Pseudo-homophones are pseudowords that are phonetically identical to a word. For example, groan/grone and crane/crain are pseudo-homophone pairs, whereas plane/plain is a homophone pair since both letter strings are recognised words. Both types of pairs are used in lexical decision tasks to investigate word recognition. [17]
Multiple journalists thought the video represented YouTube as a whole and stated it was a monumental step for the platform's history. Karim has since updated the video's description to criticize YouTube's usage of Google+ accounts and removal of dislikes from public view. As of December 2024, the video has received more than 330 million views. [1]
Homophone: words with same sounds but with different meanings; Homophonic translation; Mondegreen: a mishearing (usually unintentional) as a homophone or near-homophone that has as a result acquired a new meaning.
Homophones (literally "same sound") are usually defined as words that share the same pronunciation, regardless of how they are spelled. [ note 2 ] If they are spelled the same then they are also homographs (and homonyms); if they are spelled differently then they are also heterographs (literally "different writing").
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For many RP speakers, the vowel does tense word-finally, but this distinction is still retained in inflected forms (e.g. candied and candid are homophones in RP, but not in GA). In GA, flapping is common: when either a /t/ or a /d/ occurs between a sonorant phoneme and an unstressed vowel phoneme, it is realized as an alveolar-flap allophone [ɾ].
Words with the same writing and pronunciation (i.e. are both homographs and homophones) are considered homonyms. However, in a broader sense the term "homonym" may be applied to words with the same writing or pronunciation. Homograph disambiguation is critically important in speech synthesis, natural language processing and other fields.