首页>
外国专利>
system and method for automatic interpretation of eingabeausdrucken through new a posteriori washscheinlichkeitmasse and optimally trained datenverarbeitungsnetzwerken
system and method for automatic interpretation of eingabeausdrucken through new a posteriori washscheinlichkeitmasse and optimally trained datenverarbeitungsnetzwerken
展开▼
机译:通过新的后验洗涤和最佳训练日期自动解释eingabeausdrucken的系统和方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method and system for forming an interpretation of an input expression, where the input expression is expressed in a medium, the interpretation is a sequence of symbols, and each symbol is a symbol in a known symbol set. In general, the system processes an acquired input data set representative of the input expression, to form a set of segments, which are then used to specify a set of consegmentations. Each consegmentation and each possible interpretation for the input expression is represented in a data structure. The data structure is graphically representable by a graph comprising a two-dimensional array of nodes arranged in rows and columns and selectively connected by directed arcs. Each path, extending through the nodes and along the directed arcs, represents one consegmentation and one possible interpretation for the input expression. All of the consegmentations and all of the possible interpretations for the input expression are represented by the set of paths extending through the graph. For each row of nodes in the graph, a set of scores is produced for the known symbol set, using a complex of optimally trained neural information processing networks. Thereafter the system computes an a posteriori probability for one or more symbol sequence interpretations. By deriving each a posteriori probability solely through analysis of the acquired input data set, highly reliable probabilities are produced for competing interpreta-tions for the input expression. The principles of the present invention can be practiced with cursively written character-strings of arbitrary length and can be readily adapted for use in speech recognition systems. MATH
展开▼