A method and system for automatically analyzing legal documents are provided herein. The method may include the following steps: receiving a labelled legal document and at least one unlabeled legal document, wherein the legal documents exhibit similarity in terms of table of content thereof, and wherein the labelled legal document is labelled with a plurality of labels each indicating a start point and an end point of predefined entities associated with the legal documents; converting the legal documents to respective sequences of characters; applying a global alignment sequencing process to the sequence of characters of the labelled legal document and the sequence of characters of the at least one unlabeled legal document, based on the labels; deriving pointers to the start points and end points of the predefined entities in the unlabeled legal document based on the global alignment sequencing process; and labeling the unlabeled legal document using the pointers.

The present invention relates to a braille editing method using an error output function, a recording medium storing program for executing the same, and a computer program stored in a recoding medium for executing the same. More particularly, the present invention relates to a braille editing method using an error output function, a recording medium storing program for executing the same, and a computer program stored in a recoding medium for executing the same, that are capable of finding a location where a braille translation error has occurred by utilizing index information when detecting the error and thus facilitating correction.

A computer-implemented method includes: receiving, by a computing device, an input file defining correct spellings of one or more transliterated words; generating, by the computing device, suffix outputs based on the one or more transliterated words; generating, by the computing device, a dictionary that maps the suffix outputs to the one or more transliterated words; recognizing, by the computing device, an alternatively spelled transliterated word included in a document as one of the one or more correctly spelled transliterated words using the dictionary; and outputting, by the computing device, information corresponding to the recognized transliterated word.

A computer-implemented method includes: receiving, by a computing device, an input file defining correct spellings of one or more transliterated words; generating, by the computing device, suffix outputs based on the one or more transliterated words; generating, by the computing device, a dictionary that maps the suffix outputs to the one or more transliterated words; recognizing, by the computing device, an alternatively spelled transliterated word included in a document as one of the one or more correctly spelled transliterated words using the dictionary; and outputting, by the computing device, information corresponding to the recognized transliterated word.

A code2GOD system/method helps a decoder reveal evidence of an intelligent designer of human life as determined by gestational maturity information and derived from an original Hebrew bible letter string. The system/method includes a primary sequence of letters, each letter of which is associated with a select numerical letter value. Gestational maturity descriptors are identified within the original Hebrew bible letter string each of which correspond to a select word value. The word value(s) are divided by a factor of seven to yield a first number of weeks value. The first number of weeks value is increased by adding a factor of two weeks to yield an adjusted gestational maturity value in number of weeks. The adjusted gestational maturity value is compared to secular gestational data for providing a minimized gestational difference value for evidencing intelligent design of human life by an author of the original Hebrew bible letter string.

A code2GOD system/method helps a decoder reveal evidence of an intelligent designer of human life as determined by gestational maturity information and derived from an original Hebrew bible letter string. The system/method includes a primary sequence of letters, each letter of which is associated with a select numerical letter value. Gestational maturity descriptors are identified within the original Hebrew bible letter string each of which correspond to a select word value. The word value(s) are divided by a factor of seven to yield a first number of weeks value. The first number of weeks value is increased by adding a factor of two weeks to yield an adjusted gestational maturity value in number of weeks. The adjusted gestational maturity value is compared to secular gestational data for providing a minimized gestational difference value for evidencing intelligent design of human life by an author of the original Hebrew bible letter string.

The invention provides a computer-implemented method for analyzing a piece of text comprising Chinese characters. The method comprises the steps of truncating the piece of text into a plurality of first block units each having a first predefined number of N characters, where N is an integer and is greater than or equal to one; determining, for a selected character from the N characters of each of the first block units, one or more radicals forming said selected character; identifying, from the one or more radicals forming said selected character, one or more semantic radicals by comparing the one or more radicals with a database comprising semantic radicals and their associated meanings, and determining one or more meanings of the one or more semantic radicals in relation to said selected character; categorizing the plurality of first block units into one or more category groups based on the determined one or more meanings of the one or more semantic radicals of the selected character of each of the first block units; and computing a number of the first block units categorized in the respective one or more category groups indicative of one or more characteristics of the text.

Symbol prediction can be implemented using a multi-task system trained for different tasks. The tasks may include a single symbol prediction, symbol category prediction, and symbol subcategory prediction. Categories of symbols can be generated by clustering sets of training data using a clustering scheme.

A method, computer program, and computer system is provided for text error identification and correction. A text input having a phonetic component and a glyphic component is received. Information corresponding to the phonetic component and the glyphic component is coded as a fixed-length sequence. One or more candidate replacement words corresponding to the fixed-length sequence are identified. At least a portion of the text input is replaced with a candidate replacement word from among the one or more candidate replacement words.

A method, computer program, and computer system is provided for text error identification and correction. A text input having a phonetic component and a glyphic component is received. Information corresponding to the phonetic component and the glyphic component is coded as a fixed-length sequence. One or more candidate replacement words corresponding to the fixed-length sequence are identified. At least a portion of the text input is replaced with a candidate replacement word from among the one or more candidate replacement words.