The phrase "automatic language" is correct and usable in written English.
It can be used in contexts discussing programming languages, linguistics, or communication systems that operate without manual intervention.
Example: "The software was designed to translate text into an automatic language, allowing for seamless communication between users."
Alternatives: "programmatic language" or "self-operating language".
Skype announced that it was building the automatic language translator in May.
English is widespread, even in Wajere and Rongai, making up 81% of recorded tweets, according to an automatic language detection system.
Narrative Science, Mr. Etzioni says, points to a larger trend in computing of "the increasing sophistication in automatic language understanding and, now, language generation".
In a decade or so automatic language translation will make it seamless to communicate with new friends in China.
Information about the temporal dynamics of speech signal by means of shifted delta cepstra has proven beneficial for automatic language and speaker recognition [7].
Robust automatic language identification (LID) is a task of identifying the language from a short utterance spoken by an unknown speaker.
These findings demonstrate that the recruitment of the left angular gyrus during arithmetic problem solving underlies individual differences in mathematical ability and suggests a stronger reliance on automatic, language-mediated processes in more competent individuals.
This article contains a general statistics of Polish language that can be useful for a variety of language and speech processing applications, including automatic speech recognition with language models [55].
In this paper we explore the use of semantics in training language models for automatic speech recognition and spoken language understanding.
"Additionally, there are component-level technology challenges that span automatic speech recognition, spoken language understanding, dialog management, natural language generation, text-to-speech synthesis, and personalization," he says.
That kind of inefficiency is easily automatable with today's automatic speech recognition and natural language processing.
