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The Literary Arabic sample text is a reading of The North Wind and the Sun by a speaker who was born in Safed, lived and was educated in Beirut from age 8 to 15, subsequently studied and taught in Damascus, studied phonetics in Scotland and since then has resided in Scotland and Kuwait.
Arabic is one of the major languages that have been given attention by machine translation (MT) researchers since the very early days of MT and specifically in the U.S. The language has always been considered "due to its morphological, syntactic, phonetic and phonological properties [to be] one of the most difficult languages for written and spoken language processing."
The Arabic script should be deducible from its transliteration unambiguously and without necessarily understanding the meaning of the Arabic text. The reverse should also be possible when the Arabic script is fully diacritized or vowelled (i.e. muxakkal with kasrah, fatHat', Dammat', xaddat', tanwiin and other Harakaat.).
It has Arabic to English translations and English to Arabic, as well as a significant quantity of technical terminology. It is useful to translators as its search results are given in context. [6] Almaany offers correspondent meanings for Arabic terms with semantically similar words and is widely used in Arabic language research. [7]
The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.
The literal meaning of تَشْكِيل tashkīl is 'variation'. As the normal Arabic text does not provide enough information about the correct pronunciation, the main purpose of tashkīl (and ḥarakāt) is to provide a phonetic guide or a phonetic aid; i.e. show the correct pronunciation for children who are learning to read or foreign learners.
Financial independence — the point at which your investments and assets generate enough income to sustain your lifestyle — is a more accurate marker of wealth than a large salary.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).