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Conversation management method, and device for executing same

Abstract: Disclosed are a conversation management method and a device for executing same are disclosed. The device includes: a calculation unit for calculating the importance of an utterance intention, the similarity between utterance intentions, and the relative distance between utterance intentions using at least one of a plurality of utterance intentions in a corpus and an utterance intention in a sequence relationship with the at least one utterance intention; a similarity calculating unit for calculating the similarity between conversation flows by comparing a conversation flow obtained from a corpus and a conversation flow obtained from a user utterance by means of the importance and similarity of an utterance intention; and an utterance intention verifying unit for calculating an evaluation score of an utterance intention by evaluating a user utterance according to the relative distance between utterance intentions. Accordingly, the present invention enables the flow-processing of various conversations which are not processed in a typical information obtaining conversation device, and also determines the ranking of appropriate utterance intentions in each conversational situation by means of a score calculated by a ranking function in order to output the ranking.
Publication number: US20130325468 A1, Application number: US 13/985,556

Language learning system and learning method

Abstract: Disclosed herein are a language learning system and a language learning method. A language learning system includes a user terminal configured to receive utterance information of a user as a speech or text type and to output learning data transferred through a network to the user as the speech or text type, and a main server which includes a learning processing unit configured to analyze a meaning of the utterance information of the user, to generate at least one response utterance candidate corresponding to dialogue learning in a predetermined domain to induce a correct answer of the user, and to connect a dialogue depending on the domain and a storage unit linked with the learning processing unit and configured to store material data or a dialogue model depending on the dialogue learning.
Publication number: US20150079554 A1, Application number: US 14/396,763

System and method for managing conversation

Abstract: A conversation management system includes: a training unit that generates an articulation speech act and an entity name of a training corpus, that generates a lexical syntactic pattern, and that estimates a speech act and an entity name of a training corpus; a database that stores the articulation speech act, the entity name, and the lexical syntactic pattern of the training corpus; an execution unit that generates an articulation speech act and an entity name of a user, that generates a user lexical syntactic pattern, that estimates a speech act and an entity name of a user, that searches for an articulation pair corresponding to a user articulation at the database using a search condition including the estimated user speech act and the generated user lexical syntactic pattern, and that generates a final response by selecting an articulation template using a restriction condition including an estimated entity name among the found articulation pair; and an output unit that outputs a final response that is generated by the execution unit.
Publication number: US20150058014 A1, Application number: US 14/386,927

Grammatical error correcting system and grammatical error correcting method using the same

Abstract: Provided are a grammatical error correcting system and a grammatical error correcting method using the same, and in detail, the grammatical error correcting system includes: a learning unit configured to acquire a plurality of context features according to a linguistic characteristic from a plurality of corpuses and generate a primary learning classification model and a secondary learning classification model which are references of diagnosing a grammatical error from the context features; and an executing unit configured to predict the grammatical error with respect to a corpus which is input by a learner by using the primary learning classification model, predict the grammatical error by using a primary prediction result of the grammatical error and the secondary learning classification model, and correct the grammatical error, in which the secondary learning classification model is generated by an iterative learning technique by using the plurality of context features extracted from the plurality of corpuses based on the primary prediction result.
Publication number: US20150309982 A1, Application number: US 14/443,732

Apparatus for learning vowel reduction and method for same

Abstract: Disclosed are an apparatus and a method for providing analysis information on vowel reduction. An apparatus for learning vowel reduction comprises: a vowel reduction predicting unit extracting text characteristics information including predicted pronunciation and predicted stress information related to a word in a text, through prediction of the text, and generating vowel reduction information of the text based on a pre-saved vowel reduction prediction model DB, by using the text characteristics information; a vowel reduction detection unit extracting speech characteristics information including detected pronunciation and detected stress information, by analyzing a speech of a user corresponding to the text, and generating vowel reduction information of the speech based on a pre-saved vowel reduction detection model DB, by using speech characteristics; and a vowel reduction feedback unit for generating and providing vowel reduction difference information by comparing the vowel reduction information of the text and vowel reduction information of the speech.
Publication number: US20160133155 A1, Application number: US 14/897,903

Method for automatically generating blank filling question and recording medium device for recording program for executing same

Abstract: A method for automatically generating a blank filling question comprises the steps of: selecting correct vocabulary words according to preset criteria from an input sentence; acquiring a plurality of first vocabulary words from a vocabulary word database such that a relationship between the selected correct vocabulary words and each vocabulary word in the vocabulary word database satisfies a preset first criterion; acquiring a plurality of first vocabulary words from among the plurality of first vocabulary words such that a relationship between the input sentence and each of the plurality of first vocabulary words satisfies a preset second criterion; and acquiring one or more viewing vocabulary words satisfying a preset third criterion from among the plurality of second vocabulary words by using a relationship between the plurality of second vocabulary words and the input sentence and a relationship between the plurality of second vocabulary words and the correct vocabulary words. Therefore, a blank filling question can be effectively generated.
Publication number: US20160180730 A1, Application number: US 14/909,270

Preposition error correcting method and device performing same

Abstract: A method for correcting a preposition error and a device performing the same are provided. The method comprises the steps of normalizing input text by tagging the input text with part-of-speech information on words which form the input text; extracting a pattern indicating the structure of the input text on the basis of a preposition included in the nomalized input text; and correcting a preposition error included in the input text by matching an error pattern included in pre-constructed error pattern database and the extracted pattern. Therefore, the present invention can effectively correct a preposition error for a foreign language learner, and can precisely detect a preposition error of a foreign language learner, thereby enabling the foreign language learner to effectively learn grammar of a foreign language.
Publication number:US20160180742 A1, Application number: US 14/909,565

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