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Orthographic transcription is a transcription method that employs the standard spelling system of each target language. [1] [2]Examples of orthographic transcription are "Pushkin" and "Pouchkine", respectively the English and French orthographic transcriptions of the surname "Пу́шкин" in the name Алекса́ндр Пу́шкин (Alexander Pushkin).
Transcription should not be confused with translation, which means representing the meaning of text from a source-language in a target language, (e.g. Los Angeles (from source-language Spanish) means The Angels in the target language English); or with transliteration, which means representing the spelling of a text from one script to another.
The CLAN (Computerized Language ANalysis) program is a cross-platform program designed by Brian MacWhinney and written by Leonid Spektor for the purpose of creating and analyzing transcripts in the Child Language Exchange System database. CLAN is open source software and can be freely downloaded.
To take an example from American English: the phoneme /t/ in the words "table" and "cat" would, in both a phonemic orthography and in IPA phonemic transcription, be written with the same character, while phonetic transcription would make a distinction between the aspirated "t" in "table", the flap in "butter", the unaspirated "t" in "stop" and ...
Transcriptionists listen to videos and audio files and convert spoken words into written text. This work is necessary in a wide range of industries, including healthcare, legal, and marketing, to ...
Of more than 160 IPA symbols, relatively few will be used to transcribe speech in any one language, with various levels of precision. A precise phonetic transcription, in which sounds are specified in detail, is known as a narrow transcription. A coarser transcription with less detail is called a broad transcription.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
In the manual correction phase, the database creators manually corrected the boundaries of the interlinear gloss instances discovered by the sequence-labelling method in Step 2 of the automatic construction phase. The creators then verified the language names and language codes in a second and third pass over the data, respectively.
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