Like I always believed, there is a way to represent each and every natural language sentence using mathematical notations. Its been an year since I have been playing around with various AI algorithms and after countless failed attempts today I made some progress. A sentence can be divided into three parts as explained in Subject-Verb-Object. So a good AI who […]
Tag: 20
How about inventing a language easy for both humans and bots to understand
English or any other language as a matter of fact is difficult for a computer to understand, especially when the meaning is ambiguous. Most chat bots are “if else” programs that do nothing more than basic NLP or pattern recognition. Not denying how useful they have been lately but we still have miles to go. […]
Language is a representation of Thought
Mathematics is the language of God and so is the language of our mind. A man may speak many languages but there is only one way of storing everything he speaks. Below is probably how information from the external world coming inside is stored. As proposed by Noam Chomsky in Universal Grammar, the L.A.D, […]
Understanding the data structure in Human mind – 18 Aug 2016
When we read something we understand and memorise the gist of the sentences. We can express many things from those simple sentences, a lot of which has not even been expressed clearly. As an example, consider the below sentence taken from Wikipedia about Apple Tree. The apple tree (Malus pumila, commonly and erroneously called Malus […]
Language as a representation of raw thoughts or visual pictures running in our mind. 9-Aug-2016
I was writing a article about one of my experience today. I was stuck at one line without a good word to explain the situation through words. I have the experience clearly visible in my mind running like a video but there is no word in the vocabulary I know to describe it. I think this happens […]
Understanding sentences and their meanings one word at a time. 1-Aug-16
I picked a newspaper article and while reading it I was trying to understand the internal workings of how I am forming meaning in those sentences. Like most of the semantic analytics in theory we don’t really need the whole sentence before we start forming the meaning. As I am reading I am discovering or probably even trying to […]
DIKW Pyramid – Could this be a clue towards building a thought machine? 30 – July
The DIKW Pyramid, also known variously as the “DIKW Hierarchy“, “Wisdom Hierarchy“, the “Knowledge Hierarchy“, the “Information Hierarchy“, and the “Knowledge Pyramid“, refers loosely to a class of models for representing purported structural and/or functional relationships between data, information, knowledge, and wisdom. “Typically information is defined in terms of data, knowledge in terms of information, and wisdom […]
Analysis by trying to simply a sentence to its least minimal form – 24 July
When I try to understand a particular sentence, I have a feeling that my mind is automatically trying to break the complex words into simpler sentences and then trying to process the whole meaning. A program that can rephrase a sentence to its minimal vocabulary might help me find a way how a brain understands language. Let’s say I have a […]
Grus analysis using most used english words – 19th July 2016
Understanding thoughts on the basis of Nouns or Verbs is not taking me anywhere to close building a thought machine. Trying to understand how the most widely used words in English sentence might make a difference I am not sure. This is what I have from Wikipedia: https://en.wikipedia.org/wiki/Most_common_words_in_English $scope.analysiswords = [“the”, “be”, “to”, “of”, “and”, “a”, “in”, “that”, “have”, […]
Grus – An intelligent question answering machine
Lets say I give you a print out of Professor Albert Einstein’s Wikipedia page and tell you that I am going to ask you questions from that text. You will have enough time to read through the document and find the answers that I am looking for. Assuming you are good at finding answers, here is […]