267 results about "Language analysis" patented technology

A speech dialogue service apparatus including: a language analysis module tagging a part of speech (POS) of each respective word included in a sentence recorded in a predetermined text, syntactically analyzing the sentence by classifying a meaning of each respective word, and generating at least one semantic frame corresponding to the sentence according to a result of the syntactical analysis; and a dialogue management module analyzing an intention of the sentence corresponding to the at least one respective semantic frame, and generating a system response corresponding to the sentence intention by selecting a predetermined sentence intention according to whether an action corresponding to the intention of the respective sentence can be performed.

An apparatus for improving productivity of human reviewers of transcribed documents generated by media conversion systems includes a server / client network of computers, memories and file systems. The server receives and stores voice files created by users of the system. The server is configured for coupling to a speech-to-text media conversion system to receive converted text files of the audio voice files. The server analyzes the converted text files and routes the converted files to the appropriate reviewers according to an adaptive algorithm. The converted files are displayed on the assigned reviewer's screen at the reviewer's workstation. To aid the reviewer in pinpointing potential errors, the workstation displays different segments of the converted files in different colors to reflect different confidence levels of transcription accuracy. Portions of the original voice message that correspond to the potential errors are played back for the reviewer. The reviewers' workstations also perform productivity enhancing functions such as spelling and grammar checking. After the reviewer has made all the necessary corrections, the reviewed files are transmitted back to the server to be stored and accessed by the users. A user database in the server is also updated to store recurrent user-specific errors corrected by the reviewer. A language analysis system is also disposed to adaptively correct user-specific errors in future reviews according to the information in the user database.

Input text data undergoes language analysis to generate prosody, and a speech database is searched for a synthesis unit on the basis of the prosody. A modification distortion of the found synthesis unit, and concatenation distortions upon connecting that synthesis unit to those in the preceding phoneme are computed, and a distortion determination unit weights the modification and concatenation distortions to determine the total distortion. An Nbest determination unit obtains N best paths that can minimize the distortion using the A* search algorithm, and a registration unit determination unit selects a synthesis unit to be registered in a synthesis unit inventory on the basis of the N best paths in the order of frequencies of occurrence, and registers it in the synthesis unit inventory.

A unified program analysis framework that facilitates the analysis of complex multi-language software systems, analysis reuse, and analysis comparison, by employing techniques such as program translation and automatic results mapping, is presented. The feasibility and effectiveness of such a framework are demonstrated using a sample application of the framework. The comparison yields new insights into the effectiveness of the techniques employed in both analysis tools. These encouraging results yield the observation that such a unified program analysis framework will prove to be valuable both as a testbed for examining different language analysis techniques, and as a unified toolset for broad program analysis.

In order to achieve improvement of the accuracy and speed of a conversion of source language elements to target language elements a machine translation system is provided with context and linguistic processing comprising a dictionary storage 100, linguistic analysis storage 114, transfer rule storage 116 and a context storage 130, wherein selecting means 118 determines an order of selection among transfer rules to be executed to obtain target language elements from linguistic processing and target language elements from context processing. The correlation between language elements and context elements is obtained using a neural network.

A communication supporting apparatus includes an input accepting unit that accepts a source language sentence to be translated input by a user; a paraphrase knowledge storing unit that stores paraphrase knowledge in which a source language interpretation which is an interpretation of the semantic content of the source language sentence is associated with a paraphrase interpretation having the same semantic content as the source language interpretation and a different expression form; a source language analyzing unit that analyzes the semantic content of the input source language sentence and outputs the source language interpretation; a paraphrasing unit that obtains the paraphrase interpretation associated with the output source language interpretation from the paraphrase knowledge storing unit, and paraphrases the input source language sentence in a source language paraphrase sentence based on the obtained paraphrase interpretation; and a translation unit that translates the output source language interpretation into a first target language sentence and translates the obtained paraphrase interpretation into a second target language sentence.

The present invention includes: a characteristic parameter DB 106 that holds, with respect to each speech-unit, speech-unit data indicating a loan word attribute and acoustic characteristics; a language analysis unit 104 and a prosody prediction unit 109 that obtain text data and respectively predict a loan word attribute and acoustic characteristics of each of a plurality of speech-units that form text indicated by the text data; a speech-unit selection unit 108 that selects, from the characteristic parameter DB 106, speech-unit data that represents the loan word attribute and the acoustic characteristics similar to the predicted loan word attribute and acoustic characteristics of each speech-unit; and a speech synthesis unit 110 that generates synthesized speech using a plurality of the selected speech-units and outputs the synthesized speech.

System and method for improving data input by using word frequency to text predict input. Other systems and methods include analyzing words already contained in a document (e.g. spell checking and OCR) and using word frequency to create a proxy system to reduce the space required to store data, allowing for more efficient usage of storage and enhancing the embedded content of matrix codes. The system displays the most common words in a language based upon the previously entered or displayed word(s), or the previously entered or displayed character or characters. Words with the most common frequency of use with the prior word(s) are displayed in a table to enable the user to quickly select one of the displayed words for rapid data entry. The input device can be a touch-sensitive display or non-touch sensitive type device.

A system and method are presented for the comparative analysis of textual documents. In an exemplary embodiment of the present invention the method includes accessing two or more documents, performing a linguistic analysis on each document, outputting a quantified representation of a semantic content of each document, and comparing the quantified representations using a defined metric. In exemplary embodiments of the present invention such a metric can measure relative semantic closeness or distance of two documents. In exemplary embodiments of the present invention the semantic content of a document can be expressed as a semantic vector. The format of a semantic vector is flexible, and in exemplary embodiments of the present invention it and any metric used to operate on it can be adapted and optimized to the type and / or domain of documents being analyzed and the goals of the comparison.

A text edit apparatus which presents, based on language analysis information regarding a text, a portion of the text where voice quality may change when the text is read aloud has advantages of predicting likelihood of the voice quality change and judging whether or not the voice quality change will occur. The apparatus includes: a voice quality change estimation unit (103) which estimates the likelihood of the voice quality change which occurs when the text is read aloud, for each predetermined unit which is an input symbol sequence of the text including at least one phonologic sequence, based on language analysis information which is a symbol sequence of a result of language analysis including a phonologic sequence corresponding to the text; a voice quality change portion judgment unit (105) which locates a portion of the text where the voice quality change is likely to occur, based on the language analysis information and a result of the estimation performed by the voice quality change estimation unit (103); and a display unit (108) which presents the user the portion which is located by the voice quality change portion judgment unit (105) as where the voice quality change is likely to occur.

The present invention relates to systems and methods that determine intent for received data (e.g., email, voice, graphics . . . ) and respond to the data based on the intent. The systems and methods employ various combinations of features based on shallow and deep linguistic analysis (e.g., semantic and syntactic) to yield very high accuracy. The systems and methods analyze and categorize received data to locate data that can include intent. This data can be further refined by extracting features related to the intent. The features can be utilized by a classifier to determine the intent. If the intent warrants a response, the data are further scrutinized and reformulated to generate a description that is indicative of the intent. The reformulation can include representing the features in a logical form, transforming the form and generating a description of the intent that can be presented to a user visually and / or audibly.

The present invention relates to systems and methods that determine intent for received data (e.g., email, voice, graphics . . . ) and respond to the data based on the intent. The systems and methods employ various combinations of features based on shallow and deep linguistic analysis (e.g., semantic and syntactic) to yield very high accuracy. The systems and methods analyze and categorize received data to locate data that can include intent. This data can be further refined by extracting features related to the intent. The features can be utilized by a classifier to determine the intent. If the intent warrants a response, the data are further scrutinized and reformulated to generate a description that is indicative of the intent. The reformulation can include representing the features in a logical form, transforming the form and generating a description of the intent that can be presented to a user visually and / or audibly.

A system and method for summarizing the contents of a natural language document provided in electronic or digital form includes preformatting the document, performing linguistic analysis, weighting each sentence in the document as a function of quantitative importance, and generating one or more document summaries, from a plurality of selectable document summary types, as a function of the sentence weights.

Linguistic analysis is used to identify queries that use different natural language formations to request similar information. Common intent categories are identified for the queries requesting similar information. Intent responses can then be provided that are associated with the identified intent categories. An intent management tool can be used for identifying new intent categories, identifying obsolete intent categories, or refining existing intent categories.

The invention discloses a natural language processing-based multi-language analysis method and device. The method comprises the following steps of: selecting to input a natural language text information language category through a language detection training model; obtaining word embedding expression information of corresponding words which can be recognized by a computer through a trained word vector model, and extracting a keyword of the obtained word embedding expression information through a TF-IDF manner; calculating an article vector and a category vector of each preset category according to the keyword and a keyword weight, and calculating a similarity between an article of natural language text information and each preset category so as to determine a text classification result ofthe natural language text information; and inputting the word embedding expression information of the natural language text information into a trained convolutional neural network and a parallel-framework text emotion analysis model of a bidirectional gate circulation unit, and obtaining a final emotion tendency value through calculation. According to the method and device, the problem that traditional multi-language analysis method needs to know domain knowledges of related linguistics and needs plenty of manpower to carry out operation is solved.

A device for hiding information in a text comprises a mechanicanism for providing the text, means for linguistically analyzing the text to produce text components, for determining a plurality of formulation alternatives for the text by varying the order of the text components and, optionally, in addition by using synonyms for text components, determining every formulation alternative is grammatically correct for the text and has essentially the same meaning as the text. Certain partial information is allocated to every sequence and / or to every synonym or to every paraphrase.

A system and method providing search results based on linguistic analysis is provided. The method comprises receiving content from one or more documents associated with search parameters entered by a user. Language associated with the content based on linguistic parameters is then analyzed. A score is assigned to the content based on the analysis of the language. The content is then ordered by relevance to the user based on the assigned score.

An information classification system includes a server that includes a knowledge base that receives classification information to be classified, conducts language analysis of the classification information to acquire a plurality of keywords and classify the plurality of keywords into elements made up of a classification target word and a related word that modifies the classification target word, and conduct a search with the related word being for a judgment condition for decision of the classification while separating the classification target word from the related word, so as to assign a classification identification value to the information; a classification candidate extraction section that extracts the classification identification value that the knowledge base assigns to generate an automatic classification result; and a classification update section that receives the automatic classification result, displays a GUI for classification confirmation allowing confirmation of correctness of the automatic classification result, and corrects registered items in the knowledge base with a correction value received through the GUI for classification confirmation while referring to log data that is a processing history about automatic classification for the language analysis and the element classification.

Disclosed herein is a natural language-based tour destination recommendation apparatus and method. The natural language-based tour destination recommendation apparatus includes a query analysis unit, a tour destination search unit, and a tour destination recommendation and provision unit. The query analysis unit performs linguistic analysis on a user's tour-related query and then extracting query analysis information to be used for figuring out the user's intention from a document index DB. The tour destination search unit searches a tour destination DB for one or more recommended tour destinations using the extracted query analysis information. The tour destination recommendation and provision unit provides the retrieved recommended tour destinations to the user.

A method of operating a computer to perform linguistic analysis includes the steps of splitting an input text into words and sentences; for each sentence, comparing phrases in the sentence with known phrases stored in a database, as follows: for each word in the sentence, comparing its value and values of words following it with values of words of stored phrases, starting with the longest stored phrase that starts with that word, and working from longest to shortest; in the event a match is found for two or more consecutive words, and considering the words around the phrase, labelling the matched phrase with an overphrase that describes the grammar use of the matched phrase; after the penultimate word has been compared, recasting the sentence by replacing the matched phrases by their respective overphrases; and then repeating the comparison process with the recast sentence until there is no further recasting.

A system for natural language analytics, stored and operating on a network-connected computing device, comprising a natural language application data importer, further comprising a natural language application data importer, a natural language application data augmenter that enriches the data and an analytics component which provides a means of querying structured as well as unstructured data and which also contains a method for providing adaptive natural language analytics.

A speech dialogue service apparatus including: a language analysis module tagging a part of speech (POS) of each respective word included in a sentence recorded in a predetermined text, syntactically analyzing the sentence by classifying a meaning of each respective word, and generating at least one semantic frame corresponding to the sentence according to a result of the syntactical analysis; and a dialogue management module analyzing an intention of the sentence corresponding to the at least one respective semantic frame, and generating a system response corresponding to the sentence intention by selecting a predetermined sentence intention according to whether an action corresponding to the intention of the respective sentence can be performed.

A method for enhancing a text presentation comprising: performing a linguistic analysis of a plurality of sentences, each comprising a plurality of linguistic elements, in a text content, using analyzed data created by said linguistic analysis to match between a group of said plurality of sentences and a plurality of interactive text related object templates, creating a plurality of interactive text related objects each for a member of said group, each one of said plurality of interactive text related objects is created by placing a respective said analyzed data into a respective said interactive text related object template, and causing a client device to present simultaneously at least one of said plurality of interactive text related objects and a text section of said text content that includes a marking of at least one linguistic element of a respective member of said group.

When having obtained sound singles transmitted / received among plural terminal apparatuses, a sound recognition unit of a conference server performs a sound recognition processing on the obtained sound signals and then generates text information. A language analyzing unit of the conference server performs a language analysis processing on the text information generated by the sound recognition unit and then disassembles the text information into words. A deciding unit of the conference server compares the disassembled words and a keyword database, and decides whether or not any keyword stored in the keyword database is contained in each sentence of speech contents of respective speakers. A totalizing unit calculates a cumulative score based on the decision result of the deciding unit which represents a state of a discussion, and then it is decided in accordance with the calculated cumulative score whether or not the discussion matches to the subject.

The invention provides a system and a method for public opinion monitoring analysis and intelligent distribution processing of a coordination center. Public opinion information to be analyzed is acquired by information acquiring equipment; language analysis information is generated by intelligent language analysis equipment; the language analysis information is classified to corresponding user intention types and corresponding business types by intelligent semanteme analysis equipment, and importance scores, emergency scores and user emotion scores of the language analysis information are respectively calculated; matching search is carried out by intelligent answer engine equipment; language analysis information processing tasks are distributed to customer service staff by the intelligent information distribution equipment and are sent to information processing equipment; the result for processing the language analysis information by the customer service staff is acquired by information processing equipment, and the result or the response to questions received from the intelligent answer engine equipment is automatically fed back to a corresponding web page. The system and the method can acquire mass data efficiently, intelligent analysis public opinion content and intelligently and efficiently distribute processing tasks.