Abstract: A system and method predictively generates words based on a user input, according to a frequency of lookup of each of the generated words. The system and method also allows for a user to add predictively generated words to a word list that assists in the facilitation of word and vocabulary comprehension for a user. Words in the online dictionary are grouped in word families where a user can navigate between different forms of a root word.
Abstract: An adaptive learning system and method provides for automatically generating question types to a user for word comprehension and selecting multiple choice answers for display. Questions are developed for the user by obtaining online content and indexing the content into individual sentences and questions. The system provides questions in a series of rounds to the user and then adaptively tracks the progress of the user based on the categorization of each question.
Abstract: A system and method predictively generates words based on a user input, according to a frequency of lookup of each of the generated words. The system and method also allows for a user to add predictively generated words to a word list that assists in the facilitation of word and vocabulary comprehension for a user. Words in the online dictionary are grouped in word families where a user can navigate between different forms of a root word.
Abstract: A system and method predictively generates words based on a user input, according to a frequency of lookup of each of the generated words. The system and method also allows for a user to add predictively generated words to a word list that assists in the facilitation of word and vocabulary comprehension for a user. Words in the online dictionary are grouped in word families where a user can navigate between different forms of a root word.
Abstract: A system and method for providing vocabulary information includes one or more computer processors that, for each of a plurality of words of a text, determine a relevance of the word to the text, and, for each of at least a subset of the plurality of words, output an indication of the respective determined relevance of the word to the text, where, for each of the plurality of words, the determination includes comparing a frequency of the word in the text to a frequency threshold.