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A Pattern Based Approach For The Derivation Of Base Forms Of Verbs From Participles And Tenses For Flexible Nlp, Ram Gopal Raj Jan 2011

A Pattern Based Approach For The Derivation Of Base Forms Of Verbs From Participles And Tenses For Flexible Nlp, Ram Gopal Raj

Ram Gopal Raj

Natural Language Processing (NLP) is an integral part of a conversation and by proxy an integral part of a chatterbot. Building a complete vocabulary for a chatterbot is a prohibitively time and effort intensive endeavor and thus makes a learning chatterbot a much more efficient alternative. Learning can be performed from many facets including individual words to phrases and concepts. From the perspective of words, the grammatical parts of speech become important since they allow meaning and structure to be derived from a sentence. Verbs tend to be unique since they have different forms, namely participles and tenses. As such …


A Model For Determining The Degree Of Contradictions In Information, Ram Gopal Raj Jan 2011

A Model For Determining The Degree Of Contradictions In Information, Ram Gopal Raj

Ram Gopal Raj

Conversational systems are gaining popularity rapidly. Consequently, the believability of the conversational systems or chatterbots is becoming increasingly important. Recent research has proven that learning chatterbots tend to be rated as being more believable by users. Based on Raj’s Model for Chatterbot Trust, we present a model for allowing chatterbots to determine the degree of contradictions in contradictory statements when learning thereby allowing them to potentially learn more accurately via a form of discourse. Some information that is learnt by a chatterbot may be contradicted by other information presented subsequently. Choosing correctly which information to use is critical in chatterbot …


A One-Mode-For-All Predictor For Text Messaging, Ram Gopal Raj Jan 2011

A One-Mode-For-All Predictor For Text Messaging, Ram Gopal Raj

Ram Gopal Raj

This paper discusses the enhancements made on the current mobile phone messaging software, namely the predictive text entry. In addition, the application also has a facility to abbreviate any unabbreviated words that exist in the dictionary, so that the message length can be reduced. The application was tested in a computer-simulated mobile environment and the results of the tests are presented here. These additional features will potentially enable users to send messages at a reduced length and thus reduce the cost of sending messages. Moreover, users who are not adept in using the abbreviations can now do so with features …