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Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.
Punjabi Arthawali by Amar Nath, an English-to-Punjabi dictionary featuring Punjabi translations of English words in both Latin and Persian scripts. [6] Punjabi-Angrezi Kosh by Khushhal Singh (Lahore, 1946). [6] Based upon Maya Singh's dictionary. [6] Punjabi-English Vocabulary, a small lexicon published by the Sri Guru Singh Sabha, Lahore. [6]
Yandex Translate (Russian: Яндекс Переводчик, romanized: Yandeks Perevodchik) is a web service provided by Yandex, intended for the translation of web pages into another language. The service uses a self-learning statistical machine translation , [ 3 ] developed by Yandex. [ 4 ]
Indic OCR refers to the process of converting text images written in Indic scripts into e-text using Optical character recognition (OCR) techniques. Broadly, it can also refer to the OCR systems of Brahmic scripts for languages of South Asia and Southeast Asia, not just the scripts of the Indian subcontinent, which are all written in an abugida-based writing system.
As a researcher Lehal's main contribution has been development of technologies related to the computerization of the Punjabi language. [1] Prominent among these are first Gurmukhi OCR, first bilingual Gurmukhi/Roman OCR, first Punjabi font identification and conversion system, first multi-font Punjabi spell checker, first high accuracy Gurmukhi-Shahmukhi and Shahmukhi-Gurmukhi transliteration ...
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