DOMAIN-SPECIFIC GRAMMAR CORRECTION SYSTEM, SERVER AND METHOD FOR ACADEMIC TEXT

A method of identifying text (e.g., a sentence or sentence portion) in a word processing text editor; automatically identifying a domain-specific deep-learning neural network that corresponds to an identified context, from among one or more domain-specific deep-learning neural networks; automaticall...

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Bibliographische Detailangaben
Hauptverfasser: RANE, Sachin, NAGVENKAR, Apurva, MITTAL, Sharad, D'CUNHA, Trinka
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:A method of identifying text (e.g., a sentence or sentence portion) in a word processing text editor; automatically identifying a domain-specific deep-learning neural network that corresponds to an identified context, from among one or more domain-specific deep-learning neural networks; automatically identifying at least one suggested replacement word using the identified domain specific deep-learning neural network that corresponds to the identified context; and automatically controlling a display to display a user interface that includes functionality that presents prompt information that includes the at least one suggested replacement word. Changes for errors that are common in academic papers written by non-native speakers may be suggested.