Electronics and Telecommunications Research Institute

Jinxia Huang

Chang Hyun Kim

Young Kil Kim

Sang Kyu Park

Seong Il Yang

Yun Su Jin

Ki Young Lee

Sung Kwon Choi

Oh Woog Kwon

Young Ae Seo

Yoon Hyung Roh

Eun Jin Park

Ying Shun Wu

Young-Ae Seo

Jong Hun Shin

Yoon-Hyung Roh

Changhao Yin

Ki-Young Lee

Young-Kil Kim

Sung-Kwon Choi

Chang-Hyun Kim

Oh-Woog Kwon

Eun-Jin Park

Jong-Hun Shin

Yingshun Wu

Seung-Hoon Na

Eunjin Park

Sang-Keun Jung

Sang Keun Jung

Seung Hoon Na

Provided is a method of providing an interpretation result using visual information, and the method includes: acquiring a spatial domain image including line-of-sight information of a user and gaze position information in the spatial domain image; segmenting the acquired spatial domain image into a plurality of images; detecting text areas including text for each of the segmented images; generating text blocks, each of which is a text recognition result for each of the detected text areas, and determining the text block corresponding to the gaze position information; converting a first language included in the determined text block into a second language that is a target language; and providing the user with a conversion result of the second language.

Method, apparatus, and system for providing interpretation result using visual information

The present invention solves difficulties in constructing a dialogue corpus, ensures the accuracy of a system utterance, and evaluates a user utterance in a dialogue technology for language learning and a knowledge-grounded dialogue technology, in which a system and method is capable of helping a learner in language learning by constructing a language learning dialogue corpus using passages and exercises commonly used in language education and learning sites, training a dialogue model and a dialogue evaluation model with the language learning dialogue corpus, and allowing a user and a system to have a dialogue on the basis of a given passage. It is expected that it will be possible to implement a dialogue system for language learning that is capable of performing evaluation and easily expanding a domain (expansion of learning content).

Knowledge-grounded dialogue system and method for language learning

Disclosed are an apparatus and method for user-customized interpretation and translation, in which the user-customized interpretation and translation apparatus including an original text receiver configured to convert an input original into a text; a configuration manager configured to receive and provide user-settings information; a translation object preprocessor configured to perform a preprocessing function on the input original text according to the user-settings information when the original text is received from the original text receiver; and an automatic translator configured to translate the original text and make an output according to set translation types.

Apparatus and method for user-customized interpretation and translation

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.

Apparatus and method for controlling navigator via speech dialogue

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.

Spoken dialog system based on dual dialog management using hierarchical dialog task library

A method for establishing paraphrasing data for a machine translation system includes selecting a paraphrasing target sentence through application of an object language model to a translated sentence that is obtained by machine-translating a source language sentence, extracting paraphrasing candidates that can be paraphrased with the paraphrasing target sentence from a source language corpus DB, performing machine translation with respect to the paraphrasing candidates, selecting a final paraphrasing candidate by applying the object language model to the result of the machine translation with respect to the paraphrasing candidates, and confirming the paraphrasing target sentence and the final paraphrasing candidate as paraphrasing lexical patterns using a bilingual corpus and storing the paraphrasing lexical patterns in a paraphrasing DB. According to the present invention, the consistent paraphrasing data can be established since the paraphrasing data is automatically established.

Method for establishing paraphrasing data for machine translation system

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.

Foreign language writing service method and system

A user-interactive automatic translation device for a mobile device, includes: a camera image controller for converting an image captured by a camera into a digital image; an image character recognition controller for user-interactively selecting a character string region to be translated from the digital image, performing a character recognition function on the selected character string region based on an optical character reader (OCR) function and character recognition information to generate a text string; and user-interactively correcting errors included in the text string. Further, the user-interactive automatic translation device includes a text transmission controller for transmitting the error-corrected text string; and an automatic translation controller for receiving the error-corrected text string from the text transmission controller, performing a morpheme analysis, tagging, a structure analysis, a structure conversion, and a vocabulary conversion on the text string to generate a translation of the text string based on a grammar of a target language.

User-interactive automatic translation device and method for mobile device

A post-editing apparatus for correcting translation errors, includes: a translation error search unit for estimating translation errors using an error-specific language model suitable for a type of error desired to be estimated from translation result obtained using a translation system, and determining an order of correction of the translation errors; and a corrected word candidate generator for sequentially generating error-corrected word candidates for respective estimated translation errors on a basis of analysis of an original text of the translation system. The post-editing apparatus further includes a corrected word selector for selecting a final corrected word from among the error-corrected word candidates by using the error-specific language model suitable for the type of error desired to be corrected, and incorporating the final corrected word in the translation result, thus correcting the translation errors.

Post-editing apparatus and method for correcting translation errors

A hybrid translation apparatus includes a source language input unit for generalizing an input source language sentence for each node; a statistics-based translation knowledge database(DB) for storing learning data generalized for each node to be acquired; a first translation result generating unit for transforming the source language sentence generalized for each node into a node expression using the statistics-based translation knowledge to generate a first translation result; and a second translation result generating unit for repeatedly performing the generation of a target word for each node on the first translation result using pattern-based knowledge to generate a second translation result as target words for the respective nodes. Further, the hybrid translation apparatus includes a pattern-based translation knowledge DB for using in the pattern-based translation; and a translation result combining unit for combining the first translation result and the second translation result to output a target language sentence.

Hybrid translation apparatus and method thereof

A translation-memory application method for automatic translation includes: generating TM-expanded forms by applying TM expansion rules respectively to source sentences whose morphemes have been analyzed; storing in an expanded TM database translated sentences corresponding to the generated TM-expanded source sentences; analyzing morphemes if an input sentence does not match any of the source sentences stored in basic TM database; generating a TM-expanded form by applying pertinent ones among the TM expansion rules to the input sentence whose morphemes have been analyzed; and producing, if the TM-expanded input sentence matches one of the TM-expanded source sentences stored in the expanded TM database, a translated output corresponding to the matched TM-expanded source sentence.

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Daejeon, South Korea

Jinxia Huang