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The database is distributed as a plain text file with one entry to a line in the format "WORD <pronunciation>" with a two-space separator between the parts. If multiple pronunciations are available for a word, variants are identified using numbered versions (e.g. WORD(1)).
Throughout Wikipedia, the pronunciation of words is indicated using the International Phonetic Alphabet (IPA). The following tables list the IPA symbols used for English words and pronunciations. Please note that several of these symbols are used in ways that are specific to Wikipedia, and differ from those used by dictionaries.
A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.
So readers looking up an unfamiliar word in a dictionary may find, on seeing the pronunciation respelling, that the word is in fact already known to them orally. By the same token, those who hear an unfamiliar spoken word may see several possible matches in a dictionary and must rely on the pronunciation respellings to find the correct match. [4]
Transliteration is the process of representing or intending to represent a word, phrase, or text in a different script or writing system. Transliterations are designed to convey the pronunciation of the original word in a different script, allowing readers or speakers of that script to approximate the sounds and pronunciation of the original word.
It is found in many dictionaries, where it is used to indicate the pronunciation of words, but most American dictionaries for native English-speakers, e.g., American Heritage Dictionary of the English Language, Random House Dictionary of the English Language, Webster's Third New International Dictionary, avoid phonetic transcription and instead ...
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.
Some words contain silent letters, which do not represent any sound in modern English pronunciation. Examples include the l in talk , half , calf , etc., the w in two and sword , gh as mentioned above in numerous words such as though , daughter , night , brought , and the commonly encountered silent e (discussed further below).