Abstract: Target word recognition includes: obtaining a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; performing segmentation of the characteristic computation data to generate a plurality of text segments; combining the plurality of text segments to form a text data combination set; determining an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determining a plurality of designated characteristic values for the plurality of text data combinations; based at least in part on the plurality of designated characteristic values and according to at least a criterion, recognizing among the plurality of text data combinations target words whose characteristic values fulfill the criterion.

Abstract: A method and system for checking whether customer orders for transactions of financial instruments conform to business logic rules. Executable rule files are created and stored in a repository. New executable rule files can be created by scripting the new business logic rules in a script file which is converted into a corresponding source code file written in a computer programming language. The source code file is compiled to create an individual executable rule file. A rule selection repository contains identification of groups of selected executable rule files. The invention determines the category of the customer order and reads, from the rule selection repository, a group of executable rule files that correspond to the identified category of the customer order. The selected executable rule files are executed to check the conformance of the customer order. Execution results are stored in a status repository for subsequent retrieval and analysis.

Abstract: Methods are disclosed for automatic accent labeling without manually labeled data. The methods are designed to exploit accent distribution between function and content words.

Abstract: A method and system for checking whether customer orders for transactions of financial instruments conform to business logic rules. Executable rule files are created and stored in a repository. New executable rule files can be created by scripting the new business logic rules in a script file which is converted into a corresponding source code file written in a computer programming language. The source code file is compiled to create an individual executable rule file. A rule selection repository contains identification of groups of selected executable rule files. The invention determines the category of the customer order and reads, from the rule selection repository, a group of executable rule files that correspond to the identified category of the customer order. The selected executable rule files are executed to check the conformance of the customer order. Execution results are stored in a status repository for subsequent retrieval and analysis.

Abstract: An automated method of providing a pronunciation of a word to a remote device is disclosed. The method includes receiving an input indicative of the word to be pronounced. The method further includes searching a database having a plurality of records. Each of the records has an indication of a textual representation and an associated indication of an audible representation. At least one output is provided to the remote device of an audible representation of the word to be pronounced.

Abstract: Methods are disclosed for automatic accent labeling without manually labeled data. The methods are designed to exploit accent distribution between function and content words.

Abstract: A method and system for checking whether customer orders for transactions of financial instruments conform to business logic rules. Executable rule files are created and stored in a repository. New executable rule files can be created by scripting the new business logic rules in a script file which is converted into a corresponding source code file written in a computer programming language. The source code file is compiled to create an individual executable rule file. A rule selection repository contains identification of groups of selected executable rule files. The invention determines the category of the customer order and reads, from the rule selection repository, a group of executable rule files that correspond to the identified category of the customer order. The selected executable rule files are executed to check the conformance of the customer order. Execution results are stored in a status repository for subsequent retrieval and analysis.

Abstract: An accent detection system for automatically labeling accent in a large speech corpus includes a first classifier which analyzes words in the speech corpus and automatically labels accents to provide first accent labels. A second classifier analyzes the words to automatically label accent of the words to provide second accent labels. A comparison engine compares the first and second accent labels. Accent labels that indicate agreement between the first and second classifiers are provided as final accent labels. When there is disagreement between the first and second classifiers, a third classifier analyzes the words and provides the final accent labels.