Search results
Results from the WOW.Com Content Network
For example, it might be trained just for Japanese-English and Korean-English translation, but can perform Japanese-Korean translation. The system appears to have learned to produce a language-independent intermediate representation of language (an " interlingua "), which allows it to perform zero-shot translation by converting from and to the ...
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. [2] These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances , grammar and spell checking and conjugation tools.
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]
Telugu is an agglutinative language with person, tense, case and number being inflected on the end of nouns and verbs.Its word order is usually subject-object-verb, with the direct object following the indirect object.
The first treatise on Telugu grammar, the Āndhra Śabda Cintāmaṇi, was written in Sanskrit by Nannayya, considered the first Telugu poet and translator, in the 12th century CE. This grammar followed patterns described in grammatical treatises such as Aṣṭādhyāyī and Vālmīkivyākaranam , but unlike Pāṇini , Nannayya divided his ...
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
The rule-based machine translation approach was used mostly in the creation of dictionaries and grammar programs. Its biggest downfall was that everything had to be made explicit: orthographical variation and erroneous input must be made part of the source language analyser in order to cope with it, and lexical selection rules must be written ...
The translation is generated from this representation using both bilingual dictionaries and grammatical rules. It is possible with this translation strategy to obtain fairly high quality translations, with accuracy in the region of 90% [ vague ] (although this is highly dependent on the language pair in question, for example the distance ...