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This is not an all-encompassing list. Some applications have many more language pairs than those listed below. This is a general comparison of key languages only. A full and accurate list of language pairs supported by each product should be found on each of the product's websites.
Microsoft Translator has engaged with community partners to increase the number of languages and to improve overall language translation quality. Below is a list of community partners that Microsoft Translator has teamed with. [27] CNGL Centre for Global Intelligent Content; Hmong Language Partners – Hmong Daw; Jawaharlal Nehru University ...
LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text. This page lists notable large language models. For the training cost column, 1 petaFLOP-day = 1 petaFLOP/sec × 1 day = 8.64E19 FLOP. Also, only the largest model's cost is written.
A number of computer-assisted translation software and websites exists for various platforms and access types. According to a 2006 survey undertaken by Imperial College of 874 translation professionals from 54 countries, primary tool usage was reported as follows: Trados (35%), Wordfast (17%), Déjà Vu (16%), SDL Trados 2006 (15%), SDLX (4%), STAR Transit [fr; sv] (3%), OmegaT (3%), others (7%).
List of PO file editors/translator (in no particular order): XEmacs (with po-mode): runs on Unices with X; GNU Emacs (with po-mode): runs on Unices and Windows; poEdit: Linux, Mac OS X, and Windows poEdit does support multiple plural forms since version 1.3.. OmegaT is another translation tool that
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
This web-based opportunity requires rigorous training—a 20-hour online training course, three live learning sessions and a three-hour debriefing session—but the prep work comes at no cost ...
Both analyzers backed by Lucene and analyzers backed by Microsofts natural language processing technology are supported. These analyzers provide features such as text segmentation, word normalization, and entity recognition when processing text documents. The list of supported languages can be found in the Microsoft Azure Documentation. [8]
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