115 results about "R language" patented technology

A method for processing a natural language input provided by a user includes: providing a natural language query input to the user; performing, based on the input, a search of one or more language-based databases; providing, through a user interface, a result of the search to the user; identifying, for the one or more language-based databases, a finite number of database objects; and determining a plurality of combinations of the finite number of database objects. The one or more language-based databases include at least one metadata database including at least one of a group of information types including case information, keywords, information models, and database values.

Pronunciation correction for text-to-speech (TTS) systems and speech recognition (SR) systems between different languages is provided. If a word requiring pronunciation by a target language TTS or SR is from a same language as the target language, but is not found in a lexicon of words from the target language, a letter-to-speech (LTS) rules set of the target language is used to generate a letter-to-speech output for the word for use by the TTS or SR configured according to the target language. If the word is from a different language as the target language, phonemes comprising the word according to its native language are mapped to phonemes of the target language. The phoneme mapping is used by the TTS or SR configured according to the target language for generating or recognizing an audible form of the word according to the target language.

A method which includes performing a structure analysis on a natural sentence inputted by making use of a word dictionary DIC-WD and a configuration dictionary DIC-KT and converting letter series KNJ of the inputted natural sentence into a language structure information series IMF-LSL. The natural sentence inputted in the form of the language structure information series IMI-LSL is subjected in such a manner to application of meaning analysis grammar IMI-GRM to cause a single or a plurality of meaning frames IMF-FRM to be read out from a meaning frame dictionary DIC-IMI in accordance with commands of the meaning analysis grammar IMI-GRM. When a plurality of meaning frames IMI-FRM are read out a meaning frame which defines an abstract meaning expressed by the inputted natural sentence is synthesized by case coupling and/or logic coupling the meaning frames IMI-FRM. Words WD, particles JO and symbols KI are inserted into the meaning frames IMI-FRM read out or the meaning frame IMI-FRM synthesized to thereby determine and produce data sentence DT-S correctly expressing the meaning of the inputted natural sentence in a computer whereby the language structure information series IMF-LSL is converted into the data sentence DT-S in the form of data structure PSMW with a multi layered case-logic language structure.

A structured natural language query and knowledge system is provided to allow a user who lacks programming skills to enter a database query or a rule in the form of a structured natural language sentence. The scope of the sentence is preferably defined by an improved object relational query language, an object relational algebra, or both. Command and conditions that appear in natural language form are defined with corresponding formal query texts. A user is prompted to compose a structured natural language sentence using the defined commands and conditions. The user-selected command and its arguments appear as the verb phrase of a structured natural language sentence. The user-selected conditions and their parameters appear as the adjective phrases of the sentence. The sentence is parsed and changed into a translated formal query text for formal database query and rule processing.

The invention discloses a method for editing image-text units based on a script, comprising the steps of: presetting a user interface template containing configuration structure information of the image-text units; defining a script grammar rule for the set user interface template through an extensible markup language; editing a script analysis code for the defined script grammar rule; dispatching the script analysis code to edit the script grammar rule, and typesetting the image-text units in the set user interface template; and encapsulating the typeset user interface template to form script allocation file information. The method disclosed by the invention can be used for improving the software development efficiency and reducing the software maintenance cost.

A language model comprising a plurality of augmented-word n-grams and probabilities corresponding to such n-grams. Each n-gram is comprised of a sequence of augmented words. Each augmented word is comprised of the orthographic representation of the word together with a tag representing lexical information regarding the word, such as syntactic or semantic information. Also disclosed are a method of building such a language model, a method of automatically recognizing speech using the language model and a speech recognition system that employs the language model.

Unification of a programming language with a definition language creates a powerful tool for object-oriented programming. A programming language is extended to include definition language constructs. In a compiler environment, a compiler recognizes the definition language constructs in programming language code. The compiler environment unifies representation of the definition language information and programming language code in a unified parse tree, and derives semantic meaning from definition language information. The compiler environment also checks for lexical, syntax, and semantic errors.

A translating method for translating a natural-language description into a computer-language description includes composing a natural-language description in a natural-language, and parsing the natural-language description with a parser for translating the natural-language description into a parsed description in a computer-language according to context in the natural-language description and a lookup table.

The invention discloses a big data platform and algorithm model-based calculation method and system. The calculation method comprises the following steps of: storing data in a Hive data warehouse of a big data platform; putting a script file of an algorithm model on a server, wherein the script file of the algorithm model is compiled by using an R language; starting an Rserve on the server and starting remote access; connecting the Hive data warehouse with the Rserve, operating the data which is stored in the Hive data warehouse on the Rserve, and importing a calculation result in the Hive data warehouse. According to the big data platform and algorithm model-based calculation method and system, the shortage that the data processed by the big data platform cannot be directly used for algorithm model calculation in the prior art is covered; and a communication channel between the Hive data warehouse and the Rserve is established by utilizing a java language, and the data processing is combined with the algorithm model, so that the data processing and the model calculation can be freely jointed and then the data processing speed is improved.

The invention provides a distributed data analysis task scheduling system. The system comprises a distributed data storage service module, a resource-based distributed task scheduling engine module, adistributed message queue module, a distributed application coordination service module and an automatic execution engine module. The invention provides a distributed task scheduling framework for performing data analysis by utilizing an R language; distributed resource management is realized by utilizing a resource management platform, so that distributed scheduling execution of R language analysis is realized; and by utilizing an automatic scheduling engine, automatic calling of a data fragmentation task is realized, so that the automatic analysis demand of data tracking in an industrial process is met.

The invention discloses a method for screening anti-androgen activity of flavonoid compounds based on molecular dynamics simulation. The method comprises the following steps: performing butt joint on an optimized tested flavonoid compound structure and a receptor file acquired by homology modeling, then performing molecular dynamics simulation for 20 nanoseconds by using a GROMACS software package, calculating a mean square root deviation of No.12 helix 8-20ns of a flavonoid compound receptor, importing data into a R language package, establishing a distinguishing model for the calculated standard deviation and residues, and removing inactive compounds from the compounds in a fuzzy area by inspecting the movement trajectories of the compounds in the receptor and the calculated mean square root deviation. According to the method disclosed by the invention, quantitative judgment is imported for the first time, the pre-judgment accuracy is improved by the combination of quantitativeness and qualitativeness, the distinction rate of inactive flavonoid and active flavonoid reaches 87.5%, the screening rate of the inactive flavonoid reaches 90%, the laboratory workload can be greatly reduced, the consumption of test products is reduced, resources are saved, and the prediction accuracy of QSAR can also be greatly improved, so QSAR can be really applied.

The invention discloses a fast fusion operation method for multi-source spatial data. The method comprises the following steps of data format conversion, data rasterization, data normalization and data fusion. Data of different formats are converted into raster data files in the NetCDF network universal data format. The R-language program design is applied, and the unified space resolution and grid coordinates are adopted for different raster data layers. The raster data of all layers are standardized, and normalized data sources at the same spatial geographic position are obtained. The resolution ratios and the spatial geographical grids of data layers different in source and format are unified. The R-language program design is applied for cutting different data layers through adopting a vector polygon in a research area, and then a polygonal data layer in the NetCDF format is obtained. According to weight coefficients corresponding to each data layer assigned by a research target, a mathematical model is built. According to the mathematical model, the numerical calculation is carried out to obtain the spatial distribution of an objective function. The method is simple to operate, rapid, efficient, wide in application range and low in cost.

The invention discloses an R language program based personalized information recommendation method. The method is characterized by comprising the specific steps of 1) connecting an R language program with an Oracle database, namely, enabling the R language program to read data in the Oracle database; and extracting the data in the database, enabling the R language program to communicate with the database, and reading the required data into the R language program; 2) preprocessing the data: unifying keyword separators; and performing word segmentation on given keywords for better extracting characteristics of each piece of information and insurance; 3) calculating characteristic weights; and 4) calculating the similarity between the information and the insurance product; and after calculating the characteristic weights, taking each characteristic as a dimension and taking a normalized weight of the characteristic as a value of the characteristic, so that each piece of the information and the insurance product form a characteristic space graph and the similarity between the information and the insurance product is a closeness degree of two space graphs.

In the present invention, list number is set up after multilanguage is processed with standardization 'based on one main language, the same number is for the same meaning of different language and then language code is set forit, each language is carried out language meaning comparison and analysis with main language and to set number as principle as it does before, all 'standardization sentence', language code and sentence number are inputted in computer to have language databank in list mode corresponding to multilanguage as single or double language databank in list mode is also included in it.

The invention provides a system for evaluating a sex hormone metabolic status of individuals to be detected. The system comprises a data acquisition module, a training module and a voting module; the data acquisition module is used for acquiring sex hormones of normal individuals and individuals with sex hormone related diseases, metabolite levels of the sex hormones and other clinical influence factors; the training module is used for dividing acquired data into training sets, which correspond to the normal individuals and the individuals with the diseases one by one, by utilizing R language software through a bootstrap method; the voting module is used for carrying out sex hormone metabolic status voting on at least one sex hormone and the metabolite level thereof and the other clinical influence factors of the individuals to be detected by utilizing the training sets through a random forest method, and determining the sex hormone metabolic status of the individuals to be detected according to a voting result. According to the scheme provided by the invention, the sex hormone metabolic status of the individuals to be detected can be accurately determined, and the sex hormones, which have the greatest influences on the sex hormone related diseases, and the metabolite levels of the sex hormones are analyzed.

The present disclosure provides a computer-implemented method of generating a description of aircraft intent expressed in a formal language that provides an unambiguous description of an aircraft's intended motion and configuration during a period of flight. A description of flight intent is parsed to provide instances of flight intent, each instance of flight intent spanning a flight segment. For each flight segment, an associated flight segment description is generated that comprises one or more instances of flight intent that describe the aircraft's motion in at least one degree of freedom of motion. Flight segment descriptions are compared with constraints and/or objectives and the associated flight segment descriptions are enriched with information describing relevant constraints and/or objectives. The enriched flight intent is converted into aircraft intent by ensuring that the flight segment descriptions close all degrees of freedom of the aircraft during the period of flight.

The embodiment of the invention provides a data processing method based on the predictive maintenance of industrial equipment. The data processing method comprises the following steps: establishing a Hadoop framework-based storage platform, wherein the Hadoop framework-based storage platform comprises an HBase database for storing mass equipment data; establishing an R language-based analysis platform, wherein the R language-based analysis platform is used for analyzing the equipment data in the HBase database; and creating a Hadoop interface program, wherein the Hadoop interface program is used for providing a port for storing business data into the HBase database of the Hadoop framework-based storage platform in a specified format and enabling the R language-based analysis platform to read the equipment data in the Hadoop framework-based storage platform. According to the technical scheme, a data analysis technique based on a Hadoop+R language platform is provided.

A multiple language support system includes a server system and a client system, wherein the server system inserts a 2-dimensional barcode, including dialog text and narration text in multiple languages and position information of areas in which the text is to be written, into a webtoon image, and the client system interprets the 2-dimensional barcode, generates a text layer comprising dialog text and narration text in a language selected by a user, and displays the combination of the webtoon image and the text layer. The multiple language support system includes a text information generation unit for generating text information including text and position information about the text, a text code image generation unit for generating a text code image by converting the text information into a 2-dimensional barcode, and an image synthesis unit for generating multilingual webtoon content by combining the webtoon image with the text code image.