Search results
Results from the WOW.Com Content Network
Azhagi is the first successful Tamil transliteration tool [6] which has many users throughout the world. Azhagi helps the user to create and edit contents in several Indian languages including Tamil, Hindi, Sanskrit, Telugu, Kannada, Malayalam, Marathi, Konkani, Gujarati, Bengali, Punjabi, Oriya and Assamese without having to know how to type in these languages.
Tamil Lexicon (Tamil: தமிழ்ப் பேரகராதி Tamiḻ Pērakarāti) is a twelve-volume dictionary of the Tamil language. Published by the University of Madras , it is said to be the most comprehensive dictionary of the Tamil language to date.
Aṟam is the Tamil word for what is known in Sanskrit as 'Dharma', and pāl means 'division'. [5] [6] The concept of aṟam or dharma is of pivotal importance in Indian philosophy and religion. With a long and varied history, the word straddles a complex set of meanings and interpretations, rendering it impossible to provide a single concise ...
Google's service for Indic languages was previously available as an online text editor, named Google Indic Transliteration. Other language transliteration capabilities were added (beyond just Indic languages) and it was renamed simply Google transliteration.
Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...
A bilingual dictionary or translation dictionary is a specialized dictionary used to translate words or phrases from one language to another. Bilingual dictionaries can be unidirectional , meaning that they list the meanings of words of one language in another, or can be bidirectional , allowing translation to and from both languages.
GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2] GNMT's proposed architecture of system learning was first tested on over a hundred languages supported by Google Translate. [ 2 ]
The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.