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Logos Corporation was founded by Bernard (Bud) Scott in 1970, who worked on its Logos Machine Translation System until the company's dissolution in 2000. The project began as an English-Vietnamese translation system, which became operational in 1972 (during the American- Vietnam War ), and later was developed as a multi-target translation ...
Telephone interpreting is especially helpful for settings in which the two parties would communicate via telephone anyway, such as interactions between call centers and consumers, calls between members of the public and emergency telephone call centres, etc. Telephone interpreting can be used to take applications over the phone and help ...
With its origin in the Georgetown machine translation effort, SYSTRAN was one of the few machine translation systems to survive the major decrease of funding after the ALPAC Report of the mid-1960s. The company was established in La Jolla in California to work on translation of Russian to English text for the United States Air Force during the ...
Pages in category "Articles needing translation from Spanish Wikipedia" The following 200 pages are in this category, out of approximately 1,137 total. This list may not reflect recent changes. (previous page)
Reverso's suite of online linguistic services has over 96 million users, and comprises various types of language web apps and tools for translation and language learning. [11] Its tools support many languages, including Arabic, Chinese, English, French, Hebrew, Spanish, Italian, Turkish, Ukrainian and Russian.
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]
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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.