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Google Translate is a web-based free-to-user translation service developed by Google in April 2006. [11] It translates multiple forms of texts and media such as words, phrases and webpages. Originally, Google Translate was released as a statistical machine translation service. [11] The input text had to be translated into English first before ...
For an introductory guide on IPA symbols, see Help:IPA. Saraiki ( سرائیکی Sarā'īkī; also spelt Siraiki, or Seraiki) is an Indo-Aryan language of the Lahnda group, spoken by 26 million people primarily in the south-western half of the province of Punjab in Pakistan. It was previously known as Multani, after its main dialect.
A trilingual signboard in Arabic, English and Urdu in the UAE. The Urdu sentence is not a direct translation of the English ("Your beautiful city invites you to preserve it") or Arabic (the same). It says, "apné shahar kī Khūbsūrtīi ko barqarār rakhié, or "Please preserve the beauty of your city."
Sindhi ( / ˈsɪndi /; [3] Sindhi: سِنڌِي ( Perso-Arabic), सिन्धी ( Devanagari) [sɪndʱiː]) is an Indo-Aryan language spoken by about 30 million people in the Pakistani province of Sindh, where it has official status. It is also spoken by a further 1.7 million people in India, where it is a scheduled language, without any ...
GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. With the large end-to-end framework, the system learns over time to create better, more natural translations. GNMT attempts to translate whole sentences at a time, rather than just piece by piece.
Persian and Urdu are distinct languages. Persian is classified as an Iranian language, whereas Urdu is an Indo-Aryan language. They fall under the larger grouping of the Indo-Iranian languages, and hence share some linguistic features due to common descent . However, the majority of influence from Persian is direct, through a process often ...
Machine translation (MT) is a process whereby a computer program analyzes a source text and, in principle, produces a target text without human intervention. In reality, however, machine translation typically does involve human intervention, in the form of pre-editing and post-editing. [97]
Machine translation is use of either rule-based or probabilistic (i.e. statistical and, most recently, neural network-based) machine learning approaches to translation of text or speech from one language to another, including the contextual, idiomatic and pragmatic nuances of both languages.
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