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The Java Speech API was written before the Java Community Process (JCP) and targeted the Java Platform, Standard Edition (Java SE). Subsequently, the Java Speech API 2 (JSAPI2) was created as JSR 113 under the JCP. This API targets the Java Platform, Micro Edition (Java ME), but also complies with Java SE.
In computational linguistics, JAPE is the Java Annotation Patterns Engine, a component of the open-source General Architecture for Text Engineering (GATE) platform. JAPE is a finite state transducer that operates over annotations based on regular expressions.
so that sentences in the language can be interpreted. When a problem occurs very often, it could be considered to represent it as a sentence in a simple language (Domain Specific Languages) so that an interpreter can solve the problem by interpreting the sentence. For example, when many different or complex search expressions must be specified.
In this setting, the dialog author should only define the reward function, for example: in tutorial dialogs, the reward is the increase in the student grade; in information seeking dialogs, the reward is positive if the human receives the information, but there is also a negative reward for each dialog step.
doc2vec, generates distributed representations of variable-length pieces of texts, such as sentences, paragraphs, or entire documents. [14] [15] doc2vec has been implemented in the C, Python and Java/Scala tools (see below), with the Java and Python versions also supporting inference of document embeddings on new, unseen documents.
An automated online assistant on a website - an example where dialogue systems are major components. A dialogue system, or conversational agent (CA), is a computer system intended to converse with a human. Dialogue systems employed one or more of text, speech, graphics, haptics, gestures, and other modes for communication on both the input and ...
Machine learning – subfield of computer science that examines pattern recognition and computational learning theory in artificial intelligence. There are three broad approaches to machine learning. Supervised learning occurs when the machine is given example inputs and outputs by a teacher so that it can learn a rule that maps inputs to outputs.
In a Java (AWT/Swing/SWT) application, the MVP pattern can be used by letting the user interface class implement a view interface. The same approach can be used for Java web-based applications, since modern Java component-based Web frameworks allow development of client-side logic using the same component approach as thick clients.