Abstract: The system includes receiving one or more semantic items and a language object corresponding to the language in which the text is to be generated. The system further includes identifying one or more sentence types and one or more sentence part types for each identified sentence type. The system includes obtaining a vocabulary class for the each identified sentence part type by querying the word to sentence part type association rule, obtains one or more vocabulary class features for each of the sentence part type by querying the word to sentence part type association rule. The system further includes creating and building a natural language phrase object for each sentence part type. The system further includes deriving an expression for each built natural language phrase object. The System further includes arranging sequentially all the derived expressions using a word separation character between every pair of successive expressions.

Abstract: A method and a language processing and knowledge building system (LPKBS) for processing textual data, receives textual data and a language object; segments the textual data into sentences and each sentence into words; generates a list of one or more natural language phrase objects (NLPOs) for each word by identifying vocabulary classes and vocabulary class features for each word based on vocabulary class feature differentiators; creates sentence phrase lists, each including a combination of one NLPO selected per word from each list of NLPOs; groups two or more NLPOs in each sentence phrase list based on word to word association rules, the vocabulary classes, the vocabulary class features, and a position of each NLPO; replaces each such group of NLPOs with a consolidated NLPO; maps each segmented sentence to a sentence type; identifies a semantic item for each mapped NLPO; and identifies and stores associated attributes and relations.

Abstract: The system includes receiving one or more semantic items and a language object corresponding to the language in which the text is to be generated. The system further includes identifying one or more sentence types and one or more sentence part types for each identified sentence type. The system includes obtaining a vocabulary class for the each identified sentence part type by querying the word to sentence part type association rule, obtains one or more vocabulary class features for each of the sentence part type by querying the word to sentence part type association rule. The system further includes creating and building a natural language phrase object for each sentence part type. The system further includes deriving an expression for each built natural language phrase object. The System further includes arranging sequentially all the derived expressions using a word separation character between every pair of successive expressions.

Abstract: A method and a language processing and knowledge building system (LPKBS) for processing textual data, receives textual data and a language object; segments the textual data into sentences and each sentence into words; generates a list of one or more natural language phrase objects (NLPOs) for each word by identifying vocabulary classes and vocabulary class features for each word based on vocabulary class feature differentiators; creates sentence phrase lists, each including a combination of one NLPO selected per word from each list of NLPOs; groups two or more NLPOs in each sentence phrase list based on word to word association rules, the vocabulary classes, the vocabulary class features, and a position of each NLPO; replaces each such group of NLPOs with a consolidated NLPO; maps each segmented sentence to a sentence type; identifies a semantic item for each mapped NLPO; and identifies and stores associated attributes and relations.