Abstract: 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.

Abstract: Provided are a device and method for interactive machine translation. The device includes a machine translation engine having a morphological/syntactic analyzer for analyzing morphemes and sentences of an original text and generating original text analysis information, and a translation generator for generating a translation and translation generation information on the basis of the original text analysis information, and a user interface module for displaying sentence structures of the original text and the translation, and a relationship between the original text and the translation to a user on the basis of the original text analysis information and the translation generation information, and for receiving corrections to the original text or the translation from the user. The device and method provide a user interface whereby the user can effectively recognize and correct a mistranslated part and a cause of the mistranslation, and rapidly provides a re-translated result according to the correction.

Abstract: 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.

Abstract: Disclosed is a translation apparatus and method using multiple translation engines. The translation apparatus using the multiple translation engines may include a structure analysis unit to analyze a structure of an original sentence, a sentence receiver to receive, from translation engines, translations of the original sentence, and a sentence determining unit to determine one of the received translations to be a translation result based on performance information for the translation engines corresponding to the structure of the original sentence.

Abstract: 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.

Abstract: 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.

Abstract: A domain-adapted portable machine translation device for closed captions using dynamic translation resources and a method thereof are provided. The device and method improve translation performance with respect to various specialized domains by automatically recognizing style and domain of a caption sentence, dynamically constructing specialized translation module and knowledge, and performing automatic translation with optimal translation resources suitable for a corresponding sentence. Not only does the domain-adapted portable machine translation device for closed captions exhibit improved translation performance for sentences in various domains, but it can also be freely linked with various media devices through input/output terminals.

Abstract: A dialogue system include learning initiation unit which receives conversation education domain and target completion condition inconversation education domain and receives user's utterance, voice recognition unit which converts user's utterance into utterance text based on utterance information, language understanding unit which determines user's dialogue act based on converted utterance text and generates logical expression using slot expression corresponding to determined dialogue act and slot expression defined in conversation education domain, dialogue/progress management unit which determines utterance vertex with logical expression similar to that of utterance patterns of plurality of utterance vertices connected to system's final utterance vertex in dynamic dialogue graph and determines utterance vertices connected to determined utterance vertex as next utterance, system dialogue generation unit which retrieves utterance patterns connected to utterance vertex corresponding to determined next utterance

Abstract: A method and apparatus for generating a translation knowledge server, which can generate a translation knowledge server based on translation knowledge collected in real time is provided. The apparatus for generating translation knowledge server may include: data collector which collects initial translation knowledge data; data analyzer which performs morphological analysis and syntactic analysis on the initial translation knowledge data received from the data collector and outputs analyzed data; and translation knowledge learning unit which learns real-time translation knowledge by determining target word for each domain from the analyzed data based on predetermined domain information or by determining a domain by automatic clustering. According to the present invention, it is possible to obtain translation knowledge by analyzing documents present in a web or provided by a user in real time and to improve the quality of translation by applying the obtained translation knowledge to a translation engine.

Abstract: Provided are an automatic translation device and a method thereof. The automatic translation device includes: a character string error correcting unit correcting an error of an input text; a language simplification processing unit substituting the input text with a simplified input text by applying context based constraints and rules corresponding thereto; and an automatic translation unit translating the simplified input text into an output text. As a result, it is possible to ultimately improve automatic translation quality by mitigating inconvenience of an input text writer due to restriction of a vocabulary using list and a text configuring rule.

Abstract: The present invention relates to a method and apparatus for constructing translation knowledge to be used in a translator. According to the invention, a source-language sentence and a target-language sentence are converted by receiving the source-language sentence and the target-language sentence corresponding to the source-language sentence and attaching a prototype, a part-of-speech, relative position information, and syntactic information in a base phrase to each morpheme of the source-language sentence and the target-language sentence. Then, word alignment and syntactic alignment are performed in the converted source-language sentence and target-language sentence, thereby extracting translation knowledge on words and syntaxes, translation knowledge on a subcategory of a bilingual inflected-word, and translation knowledge on a bilingual sentence pattern based on the results of the word and syntactic alignment.

Abstract: Disclosed is a machine translation method for a PDF file.

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 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.

Abstract: A translation system is provided, which comprises: a translation server comprising guidelines for writing original text that serve as criteria for determining whether errors exist in the original text, an original text controller determining whether the original text conforms to the guidelines for writing original text, and a translation engine translating the original text with reference to at least one of a basic dictionary and a plurality of user dictionaries; a user interface comprising an original text processing part receiving and transmitting the original text to the translation server, a translated text processing part outputting the received translated text from the translation server and transmitting a result about whether to approve the corresponding translated text to the translation server, and a user dictionary editing part modifying contents of the user dictionary; and a user community server comprising an original text writing method shared database and a user dictionary shared database.

Abstract: 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.

Abstract: Provided are an automatic translation system based on structured translation memory and an automatic translation method using the same. In the automatic translation system, a translation memory establishment module changes a predetermined language pattern into a part translation pattern and registers the changed part translation pattern in a structured translation memory. A sentence unit translation module performs a translation of the sentence unit on an input sentence on the basis of the translation memory. A part combination translation module analyzes a structure of a language pattern less than the sentence unit which is included in the input sentence, searches the registered part translation pattern which is matched with the analyzed language pattern on the basis of the translation memory, and combines the searched part translation pattern to output a translation corresponding to the input sentence.

Abstract: An apparatus and method for automatic translation of patent documents are provided. Translation knowledge customized for the patent domain is extracted and used. The method includes the steps of: extracting a number of technical terms from a patent document and assigning translated terms for the extracted technical terms; extracting expressions frequently used in patent documents, not in a document in a general domain, and constructing translated expressions; using the translation knowledge constructed in this way, applying a sentence pattern to extraordinarily long sentences in a patent document, dividing the sentence by recognition of parallel structure and syntax clues; and extracting translation units available for parsing and performing structure analysis.

Abstract: 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.

Abstract: 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.