Electronics and Telecommunications Research Institute

Samsung Electro-mechanics Co., Ltd.

Korea Advanced Institute of Science and Technology

Yun Su Jin

Chang Hyun Kim

Ki Young Lee

Sang Kyu Park

Seong Il Yang

Sung Kwon Choi

Oh Woog Kwon

Young Kil Kim

Yoon Hyung Roh

Eun Jin Park

Young Ae Seo

Jinxia Huang

Ying Shun Wu

Changhao Yin

Yoon-Hyung Roh

Ki-Young Lee

Young-Ae Seo

Young-Kil Kim

Sung-Kwon Choi

Eun-Jin Park

Oh-Woog Kwon

Sang-Kyu Park

Gyu Suck Kim

Song Cheol Hong

Jong Hun Shin

Young-Sook Hwang

Chang-Hyun Kim

Young Ao Seo

Seung Hoon Na

Jong-Hun Shin

Yingshun Wu

Eunjin Park

Seung-Hoon Na

Young Kii Kim

Sang-Keun Jung

Sang Keun Jung

A power amplifier includes a common source amplifier and a common gate amplifier circuit. The common source amplifier circuit has a terminal connected to a radio frequency (RF) input terminal and uses a source terminal commonly as an input terminal and an output terminal of the power amplifier. The common gate amplifier circuit has a terminal connected to the common source amplifier circuit and another terminal connected to an RF output terminal, and uses a gate terminal commonly as the input terminal and the output terminal of the power amplifier. The common gate amplifier circuit includes a Doherty amplifier including a main power amplifier and an auxiliary power amplifier that is connected to the main power amplifier in parallel.

Common gate amplifier circuit and power amplifier using the same

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

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. Each of the first and second interpretation and translation units provides an interpretation service for receiving an input conversation in the first or second language in speech and outputting results of interpretation in speech in the second or first language, and a translation service for receiving an input conversation in the first or second language in text and outputting results of translation in text in the second or first language.

Apparatus and method for providing two-way automatic interpretation and translation service

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 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.

Method and apparatus for detecting errors in machine translation using parallel corpus

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

The present invention provides a Korean-English hybrid automatic translation method for providing translation from Korean to English, includes: performing a morpheme analysis and a syntactic analysis on a Korean input source text; segmenting the Korean input source text into at least two source text segments, based on the results of the morpheme analysis and the syntactic analysis; and generating a PBMT (pattern-based machine translation) translated text segment and a SMT (statistical machine translation) translated text segment with respect to each of the source text segments. Further, the method includes determining, as final translation result, one of the PBMT translated text segment and the SMT translated text segment with respect to each source text segment, based on predetermined weight information; and composing the translated text segments with respect to the source text segments of the Korean input source text into one English translated text by using the determined final translation results.

Method and apparatus for providing hybrid automatic translation

A machine-translation apparatus using multi-level verbal-phrase patterns includes: a simple sentence generation unit for generating an input simple sentence; a basic verbal-phrase pattern-matching unit for trying a match of a semantic code of each case component of the input simple sentence with basic verbal-phrase patterns; a default verbal-phrase pattern matching unit for trying a match of a size and case prepositions of the input simple sentence with default verbal-phrase patterns having a verb identical to that of the input simple sentence; a default word-order matching unit for trying a match of a word-order of the input simple sentence with default word-order verbal-phrase patterns having a case component structure identical to that of the input simple sentence; and a default preposition matching unit for generating a target sentence of an input sentence with default preposition patterns having a context identical to that of the input simple sentence.

Machine-translation apparatus using multi-stage verbal-phrase patterns, methods for applying and extracting multi-stage verbal-phrase patterns

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.

Method and apparatus for applying translation memory in automatic translation system

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Daejeon, South Korea

Yun Su Jin