Sentence examples for methods for language from inspiring English sources

There are whole methods for language learning predicated on the idea that "words are imaginary" while "syllables are real".

We have also tested a number of methods for language model adaptation to the ted domain and algorithms for text classification and clustering.

At this point, it makes the descriptive text filtering of each page and then this text is submitted to the AlchemyAPI methods for language text detection and entity, concepts and keywords extraction.

The GSV has been widely used for many years and the i-vector approach, which provides an elegant way to capture the majority of useful variabilities of an utterance, has proven to be one of the most successful methods for language recognition nowadays [27, 28].

Language composability is a property of language descriptions, which can be further classified into informal (language syntax and semantics are hard-coded in compiler/interpreter) and formal language descriptions (syntax and semantics are formally specified with one of several formal methods for language definition).

We, therefore, investigated how rTMS-evoked speech-errors of distinct categories are located relatively to speech-related functional MRI (fMRI) clusters (serving as a widely used method for language mapping).

In a "trait/ability-focused" approach, "context" refers to the methods for eliciting language performance, or in Bachman's (1990) words, "contextual features that determine the nature of language performance that is expected for a given test or test task" (p. 112).

Eder Miranda de Novais and Ivandré Paraboni describe a system that uses factored language models (FLMs) of Portuguese to overcome difficulties related with the application of statistical methods for natural language generation.

Confirming the effectiveness of the WBW and the SBS translation methods for other language pairs is left as future work, as is applying the rule based WBW and SBS translation methods to a larger domain, for example broadcast news.

In the last two decades, large progress has been made in the areas of feature-normalization, speaker-independent and speaker-adaptive acoustic modeling, and robust estimation methods for statistical language models.

It is here that the newly developed methods for intense language action therapy become significant in neuroscience research.