Abstract: Disclosed are a system and method for automatically evaluating an essay. The system includes a structure analysis module configured to divide learning data and learner essay text in a predetermined structure analysis unit, generate structure tagging information for each structure analysis unit, and structure the learning data and the learner essay text by attaching the structure tagging information to the learning data and the learner essay text, a learning module configured to generate an essay evaluation model through learning by using essay text that is included in the structured learning data and the structure tagging information as an input value and using an evaluation score that is included in the structured learning data as a label, and an evaluation module configured to generate essay evaluation results using the essay evaluation model.

Abstract: An intelligent tutoring method of an intelligent tutoring system is provided. The intelligent tutoring method includes: receiving learning material; selecting an utterance type in a current dialogue turn; selecting grounded knowledge from the learning material according to the selected utterance type in the current dialogue turn; generating a tutor utterance based on the selected utterance type, the grounded knowledge, and the learning material in the current dialogue turn and outputting it to the learner; receiving a learner utterance in response to the tutor utterance in the current dialogue turn; and generating an assessment result of the learner utterance by assessing the learner utterance in the current c dialogue turn.

Abstract: Provided is a method for providing foreign language education based on evaluation of a foreign language sentence of a foreign language learner, the method including: receiving at least one foreign language sentence generated from a foreign language learner; inputting the foreign language sentence into a first evaluation model corresponding to a first evaluation item among a plurality of evaluation items to calculate a first evaluation result value; comparing the calculated first evaluation result value with a predetermined result value; and when a result of the comparison is that the first evaluation result value is less than the predetermined result value, providing education information corresponding to the first evaluation item to the foreign language learner.

Abstract: A conversation contextual learning-based automatic translation device includes a bidirectional conversation translation set collection unit configured to collect a bidirectional conversation translation set which is in a conversation form; an automatic translation knowledge learning unit configured to build first language-second language bidirectional conversation translation learning knowledge using a first language-second language bidirectional conversation translation set; and a translation unit configured to translate a first language, when received from a first-language user terminal, into a second language using the built first language-second language bidirectional conversation translation learning knowledge and second-language conversation context information provided via a conversation context manager.

Abstract: An incremental self-learning based dialogue apparatus for dialogue knowledge includes a dialogue processing unit configured to determine a intention of a user utterance by using a knowledge base and perform processing or a response suitable for the user intention, a dialogue establishment unit configured to automatically learn a user intention stored in a intention annotated learning corpus, store information about the learned user intention in the knowledge base, and edit and manage the knowledge base and the intention annotated learning corpus, and a self-knowledge augmentation unit configured to store a log of a dialogue performed by the dialogue processing unit, detect and classify an error in the stored dialogue log, automatically tag a user intention for the detected and classified error, and store the tagged user intention in the intention annotated learning corpus.

Abstract: An incremental self-learning based dialogue apparatus for dialogue knowledge includes a dialogue processing unit configured to determine a intention of a user utterance by using a knowledge base and perform processing or a response suitable for the user intention, a dialogue establishment unit configured to automatically learn a user intention stored in a intention annotated learning corpus, store information about the learned user intention in the knowledge base, and edit and manage the knowledge base and the intention annotated learning corpus, and a self-knowledge augmentation unit configured to store a log of a dialogue performed by the dialogue processing unit, detect and classify an error in the stored dialogue log, automatically tag a user intention for the detected and classified error, and store the tagged user intention in the intention annotated learning corpus.

Abstract: An apparatus and method for controlling a navigator are disclosed herein. The apparatus includes a natural voice command acquisition unit, an information acquisition unit, a speech language understanding unit, a related information extraction unit, and a dialog management control unit. The natural voice command acquisition unit obtains a natural voice command from a user. The information acquisition unit obtains vehicle data including information about the operation of the navigator and information about the state of the vehicle. The speech language understanding unit converts the natural voice command into a user intention that can be understood by a computer. The related information extraction unit extracts related information that corresponds to the user intention. The dialog management control unit generates a response to the natural voice command based on the related information, the user intention and a dialog history, and controls the navigator in accordance with the conversation response.

Abstract: The present invention relates to a spoken dialog system and method based on dual dialog management using a hierarchical dialog task library that may increase reutilization of dialog knowledge by constructing and packaging the dialog knowledge based on a task unit having a hierarchical structure, and may construct and process the dialog knowledge using a dialog plan scheme about relationship therebetween by classifying the dialog knowledge based on a task unit to make design of a dialog service convenient, which is different from an existing spoken dialog system in which it is difficult to reuse dialog knowledge since a large amount of construction costs and time is required.

Abstract: An apparatus and method for controlling a navigator are disclosed herein. The apparatus includes a natural voice command acquisition unit, an information acquisition unit, a speech language understanding unit, a related information extraction unit, and a dialogue management control unit. The natural voice command acquisition unit obtains a natural voice command from a user. The information acquisition unit obtains vehicle data including information about the operation of the navigator and information about the state of the vehicle. The speech language understanding unit converts the natural voice command into a user intention that can be understood by a computer. The related information extraction unit extracts related information that corresponds to the user intention. The dialogue management control unit generates a response to the natural voice command based on the related information, the user intention and a dialogue history, and controls the navigator in accordance with the conversation response.

Abstract: The present invention relates to a translation function and discloses an automatic translation operating device, including: at least one of voice input devices which collects voice signals input by a plurality of speakers and a communication module which receives the voice signals; and a control unit which controls to classify voice signals by speakers from the voice signals and cluster the speaker based voice signals classified in accordance with a predefined condition and then perform voice recognition and translation and a method thereof and a system including the same.

Abstract: The present invention relates to a system for translating a language based on a user's reaction, the system includes an interface unit which inputs uttered sentences of the first user and the second user and outputs the translated result; a translating unit which translates the uttered sentences of the first user and the second user; a conversation intention recognizing unit which figures out a conversation intention of the second user from the reply of the second user for a translation result of the utterance of the first user; a translation result evaluating unit which evaluates the translation of the uttered sentence of the first user based on the conversation intention of the second user which is determined by the conversation intention recognizing unit; and a translation result evaluation storing unit which stores the translation result and an evaluation of the translation result.

Abstract: The present invention relates to a system for editing a text of a portable terminal and a method thereof, and more particularly to a technology which edits a text which is input into a portable terminal based on a touch interface. An exemplary embodiment of the present invention provides a text editing system of a portable terminal, including: an interface unit which inputs or outputs a text or voice; a text generating unit which generates the input text or voice as a text; a control unit which provides a keyboard based editing screen or a character recognition based editing screen for the generated text through the interface unit; and a text editing unit which performs an editing command which is input from a user through the keyboard based editing screen or the character recognition based editing screen under the control of the control unit.

Abstract: The present invention relates to an apparatus and method for providing a two-way automatic interpretation and translation service. The apparatus includes a first interpretation and translation unit for interpreting and translating a first language into a second language. A second interpretation and translation unit interprets and translates the second language into the first language. A context information management unit receives conversational context and translation history information, and shares and manages the conversational context and translation history information.

Abstract: Disclosed are an automatic translation apparatus and method capable of optimizing limited translation knowledge in a database mounted in a portable mobile communication terminal, obtaining translation knowledge from external servers in order to provide translation knowledge appropriate for respective users, and effectively updating the database mounted in the terminal.

Abstract: Disclosed herein is a motion sensor-based portable automatic interpretation apparatus and control method thereof, which can precisely detect the start time and the end time of utterance of a user in a portable automatic interpretation system, thus improving the quality of the automatic interpretation system. The motion sensor-based portable automatic interpretation apparatus includes a motion sensing unit for sensing a motion of the portable automatic interpretation apparatus. An utterance start time detection unit detects an utterance start time based on an output signal of the motion sensing unit. An utterance end time detection unit detects an utterance end time based on an output signal of the motion sensing unit after the utterance start time has been detected.

Abstract: A translation verification method using an animation may include the processes of analyzing an originally input sentence in a first language using a translation engine so that the sentence in the first language is converted into a second language, generating an animation capable of representing the meaning of the sentence in the first language based on information on the results of the analysis of the sentence in the first language, and providing the original and the generated animation to a user who uses the original in order for the user to check for errors in the translation.

Abstract: Provided are an apparatus and a method for verifying a context that verify an ambiguous expression of an input text through a user's intention and utilize the verified expression as a context in interpretation and translation. The apparatus includes: an ambiguous expression verifying unit verifying an ambiguous expression in a first input text or a back translation text for the first input text in accordance with user's input; a context generating unit generating the verified ambiguous expression as a context; and a context controlling unit controlling the generated context to be applied to translate or interpret the first input text or second input texts input after the first input text.

Abstract: A foreign language writing service method includes: recognizing, when a mixed text of foreign language portions and mother tongue portions is entered by a learner, the mother tongue portions from the mixed text; translating the mother tongue portions; combining a mother tongue translation result with the foreign language portions of the mixed text to generate a combined text; and providing the learner with the combined text of the mother tongue translation result and the foreign language portions of the mixed text.

Abstract: A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.

Abstract: Disclosed herein are an apparatus and method for generating polite expressions for automatic translation. The apparatus includes a relationship recognition unit, a polite level selection unit, and a translation unit. The relationship recognition unit extracts relationship information from a conversation between first and second language users and personal information of the first and second language users and then recognizes the social relationship between the language users. The polite level selection unit selects a polite level for the conversation between the first and second language users based on the extracted relationship information. The translation unit generates polite expressions corresponding to the selected polite level, and translates the conversation between the first and second language users into a target language based on the generated polite expressions.