37 results about "Linguistic rule" patented technology

A method and system for language identification are provided. The system includes a feature set of a plurality of character strings of varying length with associated information. The associated information includes one or more significance scores for a character string for one or more of a plurality of languages. Means are provided for detecting character strings from the feature set within a token from an input text. The system uses a finite-state device and the associated information is provided as glosses at the final nodes of the finite-state device for each character string. The associated information can also include significance scores based on linguistic rules.

An automated name searching system incorporates an automatic name classifier and a multi-path architecture in which different algorithms are applied based on cultural identity of the query name. The name classifier operates with a preemptive list, analysis of morphological elements, length, and linguistic rules. A name regularizer produces a character based computational representation of the name. A pronunciation equivalent representation such as an IPA language representation, and language specific rules to generate name searching keys, are used in a first pass to eliminate database entries which are obviously not matches for the query name. The methods can also be implemented as a callable set of library routines including an intelligent preprocessor and a name evaluator that produces a score comparing a query name and database name, based on a variety of user-adjustable parameters. The user-controlled parameters permit tuning of the search methodologies for specific custom applications.

When a portion of an input speech sentence contains an untrained portion or when speech recognition is partly erroneously performed, transference to the target language is disabled. Moreover, a phrase dictionary and interphrase rules which are necessary for transference must be manually produced. Therefore, development is low in efficiency and requires much labor.An apparatus includes: a language rule producing section which statistically automatically trains grammatical or semantic restriction rules for a partial word or a word string from a parallel-translation corpus, and in which rules are described in the form wherein a source language partial sentence corresponds to a target language partial sentence; a speech recognizing section which performs speech recognition on speech of the source language by using the produced language rules, and which outputs a result of the recognition; and a language transferring section which transfers a source language sentence into a target language sentence by using the same language rules. Even when a portion of an input speech sentence contains an untrained portion or when speech recognition is partly erroneously performed, transference to the target language is surely enabled. Moreover, a phrase dictionary and interphrase rules which are necessary for transference can be automatically produced without requiring much manual assistance.

A computer based system and method for automatically detecting frustration in an interaction, may include: identifying in the interaction using a set of linguistic rules, natural language patterns related to frustration, wherein the linguistic rules further define weights associated with the natural language patterns and rule metadata; reviewing the rule metadata associated with the identified natural language patterns to identify override attributes, wherein if the rule metadata does not include override attributes, then a frustration level in the interaction is determined based on the identified natural language patterns and weights associated with the identified natural language patterns; and if the rule metadata includes override attributes than the frustration level is determined based on the identified override attributes.

A frame represents a concept with a set of roles and a set of linguistic rules. If a linguistic rule is satisfied, by a unit of natural language discourse (UNLD), the frame is invoked and a frame instance produced. A frame instance specifies how the UNLD, with particular values drawn from the UNLD, fulfills the roles of the frame. A frame-based search, of target content, is accomplished in response to a frame-based user query. The search result is comprised of records, where each record is a result of a match, of the frame-based query, at a location in the target content. If the frame-based query is implicit, a match requires only that the location of the target content invokes the appropriate frame. If the frame-based query is role-specific, in addition to invoking the appropriate frame, a query search term needs to be found in the value for a role of the frame instance produced.

The invention discloses an in-text advertisement releasing method and an in-text advertisement releasing system based on deep semantic mining. The method comprises the following steps that an advertisement demand body is built; webpage contents are captured and received, webpage irrelevant to business information is removed according to the advertisement body and the text classification algorithm, the webpage types are judged, and keywords and key sentences are extracted; according to the linguistic rule, the deep semantic mining is carried out on the extracted key sentences, sentences, phases or words with commercial properties and with demands, emotion and attitude are discovered and extracted, and in addition, the advertisement marking is carried out; precise advertisement is embedded in an advertisement marking region through a generating type system, and when users browse the kind of webpage, the advertisement is shown in the specific region. The method and the system provided by the invention have the advantages that the advertisement relevant to the user reading content context demands can be issued in the webpage text contents, which page is suitable for in-text advertisement releasing in the website and the placing region and the advertisement words of the advertisement in the page can be analyzed, and the technical problems in the prior art can be solved.

The present invention relates to the technical field of robot compilation, and discloses a method and storage medium for industrial robot programming and analysis, wherein the method includes the following steps: Step S1: Compile or obtain keywords and global nouns by the teaching pendant; Step S2: Display The teaching device checks and judges the syntax of the keywords according to the order of generation of keywords by the robot, converts the keywords into intermediate codes according to the language rules of the source code, packs the intermediate codes into intermediate files and sends them to the motion controller, step S3: the motion controller receives the intermediate code file, verify the intermediate code in the intermediate file, and analyze the intermediate code according to the coding rules of the robot to obtain control instructions suitable for the robot and output them to the robot. The execution object can be known by analyzing the global noun in the intermediate file, and the action that the robot needs to execute can be obtained by analyzing the encoding rules of the intermediate code. Improve the convenience of human-computer interaction.