Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Fluctuating Pattern Size Handling for the Extracted Base Verb Forms from Participles and Tenses for Intelligent NLP
verfasst von : P. S. Banerjee, G. Sahoo, Baisakhi Chakraborty, Jaya Banerjee
Erschienen in: Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Natural Language Processing (NLP) is a very important part of a conversation as well as that of a chatterbot. Complete vocabulary building for a chatterbot is a cumbersome and time intensive process and thus a self learning chatterbot is a much more efficient alternative. The learning process can be initiated by a multidimensional approach including individual words to phrases and the whole concepts. Verbs tend to be a constant feature since they have different forms, namely participles and tenses. Even though we will discuss the algorithm to derive the base verb from any participle or tense but for storing such data items it a special kind of data handling is required.
In this regard we will be discussing and proposing the fluctuating data handling strategy which will help us not just to understand the strategy of fluctuating data handling but also its correlation with data handling for smaller databases.