Voice Recognition System Using Natural Language Processing
نویسندگان
چکیده
منابع مشابه
Japanese Named Entity Recognition Using Structural Natural Language Processing
This paper presents an approach that uses structural information for Japanese named entity recognition (NER). Our NER system is based on Support Vector Machine (SVM), and utilizes four types of structural information: cache features, coreference relations, syntactic features and caseframe features, which are obtained from structural analyses. We evaluated our approach on CRL NE data and obtaine...
متن کاملOn Natural Language Processing and Plan Recognition
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsing mildly context sensitive grammars have not been leveraged in the state of the art plan recognition systems. This paper will outline the relations between n...
متن کاملAmerican Sign Language Recognition System Using Image Processing Method
The paper aims to propose a novel technique that recognizes finger spelled American Sign Language (ASL) gestures. The external characteristic of hand, i.e. shape based algorithm is being used for recognition. Since almost all of the alphabets have a unique shape, each alphabet is characterized on the basis landmark points marked on the boundary of the hand shown by the signer. A training set is...
متن کاملDIALOGIC: A Core Natural-Language Processing System
Citation Grosz, Barbara, Norman Hass, Gary Hendrix, Jerry Hobbs, Paul Martin, Robert Moore, Jane Robinson, and Stanley Rosenschein. 1982. DIALOGIC: A core natural-language processing system. In COLING 82: Proceedings of the Ninth International Conference on Computational Linguistics, July 5-10, 1982, Prague, ed. International Conference on Computational Linguistics, and Ján Horecký, 95-100, Nor...
متن کاملA broad-coverage natural language processing system
Natural language processing systems (NLP) that extract clinical information from textual reports were shown to be effective for limited domains and for particular applications. Because an NLP system typically requires substantial resources to develop, it is beneficial if it is designed to be easily extendible to multiple domains and applications. This paper describes multiple extensions of an N...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2018
ISSN: 2321-9653
DOI: 10.22214/ijraset.2018.4672