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 simultaneous interpretation system using a translation unit bilingual corpus includes a microphone configured to receive an utterance of a user, a memory in which a program for recognizing the utterance of the user and generating a translation result is stored, and a processor configured to execute the program stored in the memory, wherein the processor executes the program so as to convert the received utterance of the user into text, store the text in a speech recognition buffer, perform translation unit recognition with respect to the text on the basis of a learning model for translation unit recognition, and in response to the translation unit recognition being completed, generate a translation result corresponding to the translation unit on the basis of a translation model for translation performance.
Abstract:
Provided is a method of training a real-time simultaneous interpretation model based on external alignment information, the method including: receiving a bilingual corpus having a source language sentence as an input text and a target language sentence as an output text; generating alignment information corresponding to words or tokens (hereinafter, words) in the bilingual corpus; determining a second action following a first action in the simultaneous interpretation model on the basis of the alignment information to generate action sequence information; and training the simultaneous interpretation model on the basis of the bilingual corpus and the action sequence information, wherein the first action and the second action represent a read action of reading the word in the input text or a write action of outputting an intermediate interpretation result corresponding to the read action performed up to a present.
Abstract:
Provided are a system and method for automatically translating characters in an image. In the system for automatically translating characters in an image, a processor determines, after a translation request is input, whether a signal input through an input and output interface is a character region selection signal or an autofocus request signal by analyzing the input signal, acquires a translation target region on the basis of a determination result, recognizes characters in the acquired translation target region, and then translates the recognized characters.
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.