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The Harvard sentences, or Harvard lines, [1] is a collection of 720 sample phrases, divided into lists of 10, used for standardized testing of Voice over IP, cellular, and other telephone systems. They are phonetically balanced sentences that use specific phonemes at the same frequency they appear in English.
The sound of a hard g (which often precedes the non-front vowels a o u or a consonant) is usually the voiced velar plosive [ɡ] (as in gain or go) while the sound of a soft g (typically before i , e , or y ) may be a fricative or affricate, depending on the language. In English, the sound of soft g is the affricate /dʒ/, as in general, giant ...
Let's be honest: Some words are really hard to pronounce. So some Redditors set out to determine the most difficult words to pronounce in the English language. You ready? After more than 5,000 ...
The number of vowels is subject to greater variation; in the system presented on this page there are 20–25 vowel phonemes in Received Pronunciation, 14–16 in General American and 19–21 in Australian English. The pronunciation keys used in dictionaries generally contain a slightly greater number of symbols than this, to take account of ...
Non-native pronunciations of English result from the common linguistic phenomenon in which non-native speakers of any language tend to transfer the intonation, phonological processes and pronunciation rules of their first language into their English speech. They may also create innovative pronunciations not found in the speaker's native language.
This is the pronunciation key for IPA transcriptions of English on Wikipedia. It provides a set of symbols to represent the pronunciation of English in Wikipedia articles, and example words that illustrate the sounds that correspond to them.
The International Phonetic Alphabet (IPA) can be used to represent sound correspondences among various accents and dialects of the English language. These charts give a diaphoneme for each sound, followed by its realization in different dialects.
A hyperforeignism is a type of hypercorrection where speakers identify an inaccurate pattern in loanwords from a foreign language and then apply that pattern to other loanwords (either from the same language or a different one). [1] This results in a pronunciation of those loanwords which does not reflect the rules of either language. [2]