Grus analysis using most used english words – 19th July 2016

Understanding thoughtsĀ on the basis of Nouns or Verbs is not taking me anywhere to close building a thoughtĀ machine. Trying to understand how the most widely used words in English sentenceĀ might make a difference I am not sure. This is what I have from Wikipedia:Ā https://en.wikipedia.org/wiki/Most_common_words_in_English $scope.analysiswords = [“the”, “be”, “to”, “of”, “and”, “a”, “in”, “that”, “have”, […]

Countries and their mobile codes in json format

List of countries with their phone code prefixes in JSON format [ { “country”: “Afghanistan”, “id”: “af”, “code”: 93 }, { “country”: “Albania”, “id”: “al”, “code”: 355 }, { “country”: “Algeria”, “id”: “dz”, “code”: 213 }, { “country”: “American Samoa”, “id”: “as”, “code”: 1684 }, { “country”: “Andorra”, “id”: “ad”, “code”: 376 }, { “country”: […]