Stochastic semantic analysis
Encyclopedia
Stochastic semantic analysis is an approach used in computer science
as a semantic component of natural language understanding
.
Stochastic models generally use the definition of segments of words as basic semantic units for the semantic models, and in some cases involve a two layered approach.
Example applications have a wide range. In machine translation
, it has been applied to the translation of spontaneous conversational speech among different languages. In the area of spoken language understanding the fact that spoken sentences often do not follow the grammar of a language and involve self-corrections, repetitions, and other irregularities, the use of stochastic semantic has been suggested as a natural fit to achieve robustness to deal with noise due to the spontaneous nature of spoken language.
Computer science
Computer science or computing science is the study of the theoretical foundations of information and computation and of practical techniques for their implementation and application in computer systems...
as a semantic component of natural language understanding
Natural language understanding
Natural language understanding is a subtopic of natural language processing in artificial intelligence that deals with machine reading comprehension....
.
Stochastic models generally use the definition of segments of words as basic semantic units for the semantic models, and in some cases involve a two layered approach.
Example applications have a wide range. In machine translation
Machine translation
Machine translation, sometimes referred to by the abbreviation MT is a sub-field of computational linguistics that investigates the use of computer software to translate text or speech from one natural language to another.On a basic...
, it has been applied to the translation of spontaneous conversational speech among different languages. In the area of spoken language understanding the fact that spoken sentences often do not follow the grammar of a language and involve self-corrections, repetitions, and other irregularities, the use of stochastic semantic has been suggested as a natural fit to achieve robustness to deal with noise due to the spontaneous nature of spoken language.