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Indic Computing means "computing in Indic", i.e., Indian Scripts and Languages.It involves developing software in Indic Scripts/languages, Input methods, Localization of computer applications, web development, Database Management, Spell checkers, Speech to Text and Text to Speech applications and OCR in Indian languages.
[citation needed] The whole basis of language generation is through the training of computer models and algorithms which can learn from a large dataset of information. For example, there are mixed sentence models which tend to perform better as they take a larger sampling size of sentenced data rather than just words [10] .
Machine translation algorithms for translating between two languages are often trained using parallel fragments comprising a first-language corpus and a second-language corpus, which is an element-for-element translation of the first-language corpus. [3] Philologies. Text corpora are also used in the study of historical documents, for example ...
Some work has been done in the utilization of multiparallel corpora, that is a body of text that has been translated into 3 or more languages. Using these methods, a text that has been translated into 2 or more languages may be utilized in combination to provide a more accurate translation into a third language compared with if just one of ...
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.
The new translation engine was first enabled for eight languages: to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish in November 2016. [24] In March 2017, three additional languages were enabled: Russian, Hindi and Vietnamese along with Thai for which support was added later.
Mamba LLM represents a significant potential shift in large language model architecture, offering faster, more efficient, and scalable models [citation needed]. Applications include language translation, content generation, long-form text analysis, audio, and speech processing [citation needed
Devanagari is an Indic script used for many Indo-Aryan languages of North India and Nepal, including Hindi, Marathi and Nepali, which was the script used to write Classical Sanskrit. There are several somewhat similar methods of transliteration from Devanagari to the Roman script (a process sometimes called romanisation ), including the ...