Abstract:
Disclosed is a method of editing voice recognition results in a portable device. The method includes a process of converting the voice recognition results into text and displaying the text in a touch panel, a process of recognizing a touch interaction in the touch panel, a process of analyzing an intent of execution of the recognized touch interaction, and a process of editing contents of the text based on the analyzed intent of execution.
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:
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:
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:
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 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:
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.