35 results about "Linguistic rule" patented technology

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.

A graphical user interface provides a rule editor which displays linguistic elements of a selected text string, such as in the form of a tree structure where words and phrases of the text string are represented by nodes. A processor generates a linguistic rule in accordance with those linguistic elements which are selected by the user on the rule editor.

The invention provides a control method of Chinese entity relationship extraction based on word co-occurrence, which comprises the steps of: a. calculating a word correlation degree by statistics of co-occurrence frequency of words; b. calculating word similarity according to the word correlation degree; and c. determining an entity relationship according to the word similarity. The invention also provides a corresponding control device. A corpus used by the method is a news corpus, so that the corpus can be directly created by extracting news texts and titles via the current mature webpage analysis technology without a large amount of manpower participating in the corpus creation; and the method is capable of obtaining such information as word frequency used for calculating the word correlation degree, word position considered when calculating the matching similarity, part of speech of the words and whether the words are verbs, and the like, by utilizing a shallow language rule, for example, participle and part of speech marking in natural language processing and simple statistical techniques, and the method can combine the semantic information of the words with a traditional mode matching method.

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.

A method of reformatting logically complex clauses, in particular for enabling detection and correction of potential ambiguity in legal documents, is disclosed. The method comprises four distinct stages. Firstly, a passage of text is analysed into its constituent parts of speech. Next, groups of words that belong together in large phrases are concentrated into larger units using linguistic rules. Thirdly, further linguistic patterns take account of the grouping of these concatenated phrases and pick out occurrences of logically important words or phrases that represent conjunctions. The disclosed method uses rules to determine whether the identified conjunctions are top level, i.e. logically significant, or whether they are subordinate, i.e. link smaller phrases in the text. In the final stage, the annotated grammatical and logical formation is used to display the original text in such a way that the logical structure is revealed. The method is suitably computer-implemented through a software routine operable upon text in a word processing package.

A method for deriving the morphology, syntax, and semantics of a language system (comprised of untagged free text) is presented. The concept of the “language object” (a unique data structure containing information concerning the behavior of a given segment of the input language) is introduced, and is shown to be useful in the analysis of a language system when utilized by a Monte Carlo Markov Chain rule engine to discern probabilities of various language rules and the existence of various “language objects.” This process of positing and testing language objects and rules functions on morphologic, syntactic and semantic levels, building a comprehensive understanding of language use and structure from base elements up to the complex systems of human expression.

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, can produce a search result comprised of records and corresponding frame instances. The values of such frame instances can be presented to the user as a role-value oriented search result. Multiple values of a role-value oriented search result, sufficiently similar in meaning, can be merged. Merged values can be represented, in a role-value oriented search result, by a single value. Selection of a value, of a role-value oriented search result, can cause the records, for which the value occurs in the corresponding instance, to be displayed to the user.

A method and apparatus for modification of a speech signal indicative of a stream of speech data having a plurality of syllables. The method comprises the steps of mapping the stream of speech data from the speech signal into a stream of tone data according to a linguistic rule regarding the syllables for providing a tone signal indicative of the stream of tone data; forming a string of musical notes responsive to the tone signal for providing a carrier signal indicative of the string of musical notes; modulating the carrier signal with the speech signal for providing a modified signal; and providing an audible signal representative of the speech signal, musically modified according to the linguistic rule. The linguistic rule includes an assignment of a tone to a syllable of the speech data based on a vowel of the syllable, a consonant of the syllable, the intonation of the syllable for a monosyllabic language. The musically modified speech signal can be used to indicate an incoming telephone call, a message left on a telephone, a scheduled event, or the like.

The invention relates to a system and a method for automatically splitting English generalized phrases, wherein the system comprises a phrase input module, a phrase classification module, a probability model module based on linguistics rules and a machine learning model module based on text classification; the phrase input module is used for inputting a large amount of phrases separated from the text of one field; the phrase classification module is used for carrying out classification to each input phrase and putting simple phrases into a simple phrase table; the probability model module based on linguistics rules is used for carrying out one-by-one splitting to each classified generalized phrases; and the machine learning model module based on text classification is used for carrying out further splitting to generalized phrases which can not be splitted accurately in the probability model module based on linguistics rules.

An example embodiment may involve a software application executable on a computing device of a computational instance of a remote network management platform associated with a managed network. The software application may receive, from a client device of the managed network, a natural language query, determine that a first term of the query does not match any term in a list of predetermined terms, and revise the query by (i) applying a set of linguistic rules that modify the first term to generate a replacement term, (ii) determining whether the replacement term matches at least one term in the list, and (iii) after determining that the replacement term matches at least one term in the list, replacing the first term in the query with the replacement term. The software application may then parse the revised query, search the database, and transmit a result to the client device.

The invention comprises a core algorithm to use language regularity in large collections of human created textual documents, as well as optimization techniques to make the algorithm tractable. The core algorithm includes receiving tuples of text units that may be grammatically linked and processing a stream of such tuples to discover language regularities. After this learning is completed, the algorithm's output is used to evaluate the perceived likelihood that different interpretations of novel sentences would have been intended by a speaker of the language.

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.

The invention discloses an automatic dialogue intention recognition system based on linguistic rule generation. The system comprises a word segmentation module, a linguistic rule generation module, an intention model group generation module, and a model similarity calculation module. The word segmentation module is used for carrying out word segmentation on sentences, the linguistic rule generation module marks respective syntax and semantic information on words, the intention model group generation module performs duplication elimination and combination by taking intention as a unit, each intention generates a semantic model group, and the model similarity calculation module calculates the similarity between two models. According to the invention, the problems of inaccurate dialogue intention recognition and large manual workload in the prior art are solved.

The invention relates to the technical field of robot compiling, and discloses an industrial robot programming and analyzing method and a storage medium, and the method comprises the following steps: S1, a demonstrator compiles or obtains keywords and global nouns; s2, the demonstrator carries out grammar check and judgment according to the generation sequence of the robot on the keywords, converts the keywords into intermediate codes according to language rules of source codes, packages the intermediate codes into an intermediate file and sends the intermediate files to the motion controller, and S3, the motion controller receives the intermediate file, verifies the intermediate codes in the intermediate file and sends the intermediate files to the robot. And analyzing the intermediate code according to a coding rule of the robot to obtain a control instruction suitable for the robot, and outputting the control instruction to the robot. The execution object can be known by analyzing the global noun in the intermediate file, and the action needing to be executed by the robot can be obtained by analyzing the coding rule of the intermediate code. And the convenience of man-machine interaction is improved.

Disclosed is a method for analyzing text data, which is performed by a computing device including at least one processor. The method may include: acquiring one or more text data; generating one or more language rules from at least a part of the one or more text data based on concept information; providing a user interface including the one or more generated language rules, and capable of receiving a first user input for the one or more language rules from a user; and generating a language rule set including at least one language rule among the one or more language rules based on the first user input.