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 a context information sharing apparatus and method for providing an intelligent service by sharing context information between one or more terminals. The method includes collecting, at one or more terminals, user behavior-based preference information including user log information about each terminal and sensor-based context information, storing, at the one or more terminals, the collected preference information and context information in each terminal as a database, receiving, at a first terminal, a context information collection request for a target user group and identifying the target user group, collecting, at the first terminal, context information about at least one terminal included in the identified target user group, and providing, at the first terminal, preference information about the target user group extracted on the basis of the collected context information about the target user group to a user.

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: A question type and domain identifying apparatus includes: a question type identifier for recognizing the number of words of a user's question to identify whether the user's question is a query for performing information searching or a question for performing a question and answer (Q&A); a question domain distributor for distributing one of plural preset domain specialized Q&A engines, as a Q&A engine of the user's question based on the recognized word number; and a Q&A engine block, including the domain specialized Q&A engines, for selectively performing information searching or a Q&A with respect to the user's question in response to the distribution of the question domain distributor.

Abstract: Disclosed are a method and an apparatus for mobile intelligent advertizing service based on mobile user contextual matching.

Abstract: Provided are a method and mobile terminal for performing a personalized search, capable of providing search results optimized for a user in consideration of location and user preference. The method includes acquiring a question keyword from a user and information about the location of a mobile terminal, making a local search on the basis of the question keyword and the location information to generate local search results, displaying the local search results and storing a use record of the user of the mobile terminal corresponding to the displayed local search results, generating a user preference analysis model using the location information and the use record, then applying the generated user preference analysis model to the local search results, and deducing personalized final local search results from the local search results. Thus, it is possible to provide the local search results optimized for the user.

Abstract: In a method for providing multimedia services in a communication system, a request message for requesting contract information on users' multimedia services are received from a terminal according to service requests of the multimedia services to be received by the users. A query message for searching for the contract information in a database is generated corresponding to the request message, and the query message is transmitted to the database. The contract information is searched in the database through a Moving Picture Experts Group (MPEG) query format protocol based on the query message, and a query result message containing the contract information is received from the database in response to the query message. The contract information is acknowledged in the query result message, and a response message containing the contract information is generated. Then, the response message is transmitted to the terminal.

Abstract: Provided are an apparatus and method for generating a soft bit metric and a multi-level (M-ary) Quadrature Amplitude Modulation (QAM) receiving system using the same. The apparatus includes an analog to digital converter for converting an analog symbol signal of a demodulated I (Inphase) or Q (Quadrature) channel into a digital signal, a scaler for scaling the converted digital signal based on a reference value used for determining a space between symbols, a positive integer converter for calculating a positive integer of the scaled digital I or Q channel symbol signal, a sign determinator for determining a sign of the scaled digital I or Q channel symbol signal, and a bit information converter for converting the scaled digital I or Q channel symbol signal into soft bit metric information per bit on the basis of the calculated positive integer and the determined sign value.

Abstract: Disclosed herein are a sentence translation apparatus and method. The sentence translation apparatus includes a voice recognition unit, a morphemic part-of-speech tagging unit, a pause extraction unit, and a sentence separation unit. The voice recognition unit creates a sentence in a first language based on results of recognition of a voice in a first language. The morphemic part-of-speech tagging unit tags morphemic parts of speech from the sentence in the first language. The pause extraction unit extracts pause information from the voice in the first language. The sentence separation unit separates the sentence in the first language based on information about the morphemic parts of speech tagged by the morphemic part-of-speech tagging unit and the pause information extracted by the pause extraction unit.

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: A speech understanding apparatus includes: a speech recognition unit for recognizing an input speech to produce a speech recognition result; a sentence analysis unit for performing morpheme analysis on a sentence corresponding to the speech recognition result, extracting additional information, and performing syntax analysis; a hierarchy describing unit for describing hierarchy of the sentence; a class transformation unit for performing class transformation on the sentence; a semantic representation determination unit for marking optional expressions for the sentence, deleting meaningless expressions and the additional information, converting the sentence into its base form, and deleting morphemic tags or symbols to determine a semantic representation; a semantic representation retrieval unit for retrieving the determined semantic representation from an example-based semantic representation pattern database; and a retrieval result processing unit for selectively producing a retrieved semantic representation.

Abstract: A thinner composition includes propylene glycol ether acetate, methyl 2-hydroxy-2-methyl propionate, and an ester compound such as ethyl lactate, ethyl 3-ethoxy propionate or a mixture thereof.

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 speech recognition method using a domain ontology includes: constructing domain ontology DB; forming a speech recognition grammar using the formed domain ontology DB; extracting a feature vector from a speech signal; modeling the speech signal using an acoustic model. The method performs speech recognition by using the acoustic model, the speech recognition dictionary and the speech recognition grammar on the basis of the feature vector.

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.