Search results
Results from the WOW.Com Content Network
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.
Another technique, as described by Cavnar and Trenkle (1994) and Dunning (1994) is to create a language n-gram model from a "training text" for each of the languages. These models can be based on characters (Cavnar and Trenkle) or encoded bytes (Dunning); in the latter, language identification and character encoding detection are integrated ...
Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. As language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.
Language Identification Web Service, language detection API, 100+ languages supported; Google Translate, Google's translation service. Xerox, an online language identifier, 47 languages supported; Language Guesser, a statistical language identifier, 74 languages recognized; NTextCat - free Language Identification API for .NET (C#): 280 ...
Amazon Translate provides natural language translation. [172] [173] 2017 November 29 Product (AI) Amazon Transcribe is an automatic speech recognition software. [173] [174] 2017: December 14: Product: AWS CloudWatch agent for Linux and Windows which allows collection of disk and memory metrics as well as logs. [175] 2017 December 18 Regional ...
Machine translation applications have also been released for most mobile devices, including mobile telephones, pocket PCs, PDAs, etc. Due to their portability, such instruments have come to be designated as mobile translation tools enabling mobile business networking between partners speaking different languages, or facilitating both foreign ...
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language. [1]