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  2. CMU Pronouncing Dictionary - Wikipedia

    en.wikipedia.org/wiki/CMU_Pronouncing_Dictionary

    It is commonly used to generate representations for speech recognition (ASR), e.g. the CMU Sphinx system, and speech synthesis (TTS), e.g. the Festival system. 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.

  3. Help:IPA/English - Wikipedia

    en.wikipedia.org/wiki/Help:IPA/English

    For example, you may pronounce cot and caught the same, do and dew, or marry and merry. This often happens because of dialect variation (see our articles English phonology and International Phonetic Alphabet chart for English dialects). If this is the case, you will pronounce those symbols the same for other words as well. [1]

  4. LanguageTool - Wikipedia

    en.wikipedia.org/wiki/LanguageTool

    LanguageTool is a free and open-source grammar, ... rules are created and then tested for a given text. The core app itself is free and open-source and can be ...

  5. Pronunciation respelling for English - Wikipedia

    en.wikipedia.org/wiki/Pronunciation_respelling...

    A pronunciation respelling for English is a notation used to convey the pronunciation of words in the English language, which do not have a phonemic orthography (i.e. the spelling does not reliably indicate pronunciation). There are two basic types of pronunciation respelling:

  6. Reverso (language tools) - Wikipedia

    en.wikipedia.org/wiki/Reverso_(language_tools)

    It also has tools for conjugation of verbs in various languages, spell checking tools, and written multilingual grammar guides for language learners. Reverso Documents service translates documents and websites while preserving their layout. [16]

  7. Metaphone - Wikipedia

    en.wikipedia.org/wiki/Metaphone

    Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation. [1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar.

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