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公开(公告)号：KR1020140059877A
公开(公告)日：2014-05-19
申请号：KR1020120125764
申请日：2012-11-08
Applicant: 한국전자통신연구원
CPC classification number: G06F17/20 , G06F17/2705 , G06F17/2725
Abstract: The present invention relates to an apparatus and method for improving Chinese word segmentation performance, and more particularly, an apparatus and method for improving word segmentation performance by processing word segmentation errors of Chinese by automatically recognizing an accurate boundary of a word from a sentence of another language, for example, English or Korean, of a parallel corpus of which a word boundary is clear in order to reduce unregistered word errors and ambiguity errors frequently appeared in a Chinese word segmenting device. According to the present invention, a limitation that errors are confirmed from the word segmenting device by consuming lots of manpower and time can be overcome by continuously extracting the unregistered word errors and ambiguity errors, which are difficult to process at the time of word segmentation of a Chinese sentence, through the parallel corpus and storing corrected word segmentation information.
Abstract translation: 本发明涉及一种用于提高中文分词性能的装置和方法，更具体地说，涉及一种通过自动识别来自另一语句的单词的准确边界来处理中文的分词错误来提高分词性能的装置和方法 中文字分割装置中经常出现的语言，例如英文或韩文，其中字边界是清楚的，以减少未注册的字错误和模糊性错误。 根据本发明，通过消耗大量人力和时间从字分割装置确认出错误的限制可以通过连续提取在单词分割时难以处理的未注册的字错误和歧义错误来克服 一个中文句子，通过并行语料库和存储更正的分词信息。
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82.发明公开가상 에이전트와의 대화 내용에서 자동으로 추출되는 개인 프로파일링 정보를 이용한 자동학습 기반의 인공지능 대화 시스템 无效基于人工智能对话系统的机器学习，使用个人简介信息自动从与虚拟代理人的对话内容中提取
公开(公告)号：KR1020140042994A
公开(公告)日：2014-04-08
申请号：KR1020120109324
申请日：2012-09-28
Applicant: 한국전자통신연구원
CPC classification number: G10L15/1815 , G06F17/2755 , G06F17/30525 , G10L15/22
Abstract: According to one embodiment, an automatic learning-based artificial intelligent dialog system includes: a database in which personalized expression learning data including sentence expressions classified by personal intention and classification tags for the sentence expressions is stored; a learning device which analyzes the sentence expressions included in the personalized expression learning data at a morpheme level and learns personal profiling data expressions attached with the classification tags at a morpheme level; a language analysis unit which analyzes the currently-inputted dialog sentence at a morpheme level; an extraction unit which extracts user profiling data based on the analysis result at a morpheme level by the language analysis unit and the personal profiling data expressions; a personal history database in which the user profiling data is classified by personal preference and accumulated as personal profiling data; an intention analysis unit which determines the intention in the dialog sentence based on the analysis result at a morpheme level by the language analysis unit; and a response generation unit which determines a dialog flow of the dialog sentence based on the personal profiling data accumulated in the personal history database and generates a response sentence. [Reference numerals] (10) Database; (20) Learning unit; (30) Language analysis unit; (40) Extraction unit; (50) Database; (60) Intention analysis unit; (70) Response generation unit
Abstract translation: 根据一个实施例，一种基于自动学习的人工智能对话系统包括：数据库，其中存储包括由个人意图分类的句子表达和句子表达式的分类标签的个性化表达式学习数据; 一种学习装置，其以语素级别分析包含在个性化表达式学习数据中的句子表达，并且以语素级别学习附加有分类标签的个人简档数据表达; 语言分析单元，其以语素级别分析当前输入的对话句; 提取单元，其基于语言分析单元的语素级别的分析结果和个人简档数据表达来提取用户分析数据; 个人历史数据库，其中用户分析数据通过个人偏好分类并作为个人分析数据累积; 意图分析单元，其基于语言分析单元在语素级别的分析结果来确定对话句中的意图; 以及响应生成单元，其基于在个人历史数据库中累积的个人简档数据来确定对话句的对话流，并生成响应句。 （附图标记）（10）数据库; （20）学习单位; （30）语言分析单位; （40）提取单位; （50）数据库; （60）意向分析单位; （70）响应发生单元
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公开(公告)号：KR1020130068608A
公开(公告)日：2013-06-26
申请号：KR1020110135901
申请日：2011-12-15
Applicant: 한국전자통신연구원
CPC classification number: G06F17/2705 , G06F17/271 , G06F17/2755 , G06F17/2872 , G06F17/289
Abstract: PURPOSE: A parenthesis processing device in rule-based automatic translation and a method thereof are provided to improve the performance of automatic translation by processing sentences including parentheses and increasing an application range of an existing pattern. CONSTITUTION: A pattern expanding unit(200) adds a selective adverbial phase to an addible position to the expansion of the selective adverbial phase. A selective adverbial phase processing unit(350) adds an active chart to a pattern with the expansion of the selective adverbial phase to process a selective adverbial phase node. A parsing unit(300) performs chart parsing by using a processing result of the selective adverbial phase node. A converting unit(400) converts an input text by using a conversion pattern corresponding to a chart parsing result. A generating unit(500) generates a translation result text based on the conversion result to provide the same to a user. [Reference numerals] (100) Tagging unit; (150) Dictionary storage unit; (200) Pattern expanding unit; (250) Rule/pattern storage unit; (300) Parsing unit; (350) Selective adverbial phase processing unit; (400) Converting unit; (500) Generating unit; (AA) Input text; (BB) Translation result text
Abstract translation: 目的：提供基于规则的自动翻译中的括号处理设备及其方法，通过处理包括括号的句子和增加现有模式的应用范围来提高自动翻译的性能。 构成：模式扩展单元（200）为选择性副词阶段的扩展增加了选择性的副词阶段到一个可添加的位置。 选择性副词相位处理单元（350）将活动图添加到具有选择性副词相位的扩展的模式，以处理选择性副词相位节点。 解析单元（300）通过使用选择性副词相位节点的处理结果来执行图解。 转换单元（400）通过使用与图表解析结果对应的转换模式来转换输入文本。 生成单元（500）基于转换结果生成翻译结果文本，以将其提供给用户。 （附图标记）（100）标签单元; （150）字典存储单元; （200）图案展开单元; （250）规则/模式存储单元; （300）分析单元; （350）选择性副词处理单位; （400）转换单元; （500）发电机组; （AA）输入文本; （BB）翻译结果文本
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公开(公告)号：KR101263332B1
公开(公告)日：2013-05-20
申请号：KR1020090086064
申请日：2009-09-11
Applicant: 한국전자통신연구원
CPC classification number: G06F17/289 , G06K9/2081 , G06K2209/01
Abstract: 본발명은모바일기기에서사용자상호작용을이용한자동번역장치및 그방법에관한것으로, 카메라렌즈를포함한모바일기기상에서촬영한정지영상에대하여사용자인터페이스를통해자동번역하고자하는문자열영역이지정될경우, 지정된문자열영역에대하여문자인식후에전자화된텍스트로변환하고이 변환된텍스트에대한인식오류를사용자피드백을통해직접오류가수정완료된텍스트문자열을자동번역함으로써, 식당에서의메뉴, 도로에서의표지판, 다양한외국서적, 외국브랜드제품의메뉴얼등의번역대상에대하여휴대가능한모바일기기를통해국내뿐만아니라외국에서편리하게번역기능을수행할수 있으며, 또한사용자와의상호작용을통하여문자인식오류를최소화하여고품질의자동번역의성능을얻을수 있다.
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公开(公告)号：KR1020120072112A
公开(公告)日：2012-07-03
申请号：KR1020100133909
申请日：2010-12-23
Applicant: 한국전자통신연구원
CPC classification number: G06F17/2854
Abstract: PURPOSE: An apparatus and a method for measuring translation reliability of a multi-language model are provided to measure translation reliability by calculating reliability of an automatic translation result based on probability of language models. CONSTITUTION: A vocabulary based determining unit(110) calculates the probability of a vocabulary information language mode about a translation from a machine translation result. A content word based determining unit(130) calculates the probability of content information language model about the translation from the machine translation result. A reliability calculating unit(140) calculates the translation reliability of the translation by using the probability of the language model.
Abstract translation: 目的：提供一种用于测量多语言模型的翻译可靠性的装置和方法，以通过基于语言模型的概率计算自动翻译结果的可靠性来测量翻译的可靠性。 构成：基于词汇的确定单元（110）从机器翻译结果计算关于翻译的词汇信息语言模式的概率。 基于内容字的确定单元（130）从机器翻译结果计算关于翻译的内容信息语言模型的概率。 可靠性计算单元（140）通过使用语言模型的概率来计算翻译的翻译可靠性。
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Patent Agency Ranking
公开(公告)号：KR1020120037842A
公开(公告)日：2012-04-20
申请号：KR1020100099547
申请日：2010-10-12
Applicant: 한국전자통신연구원
CPC classification number: G09B19/06 , G06F17/289
Abstract: PURPOSE: A method and an apparatus for learning translation knowledge by phrase are provided to reliably and accurately extend translation knowledge since a user corrects the translation knowledge by noun phrase. CONSTITUTION: Syntax analysis for source language among language corpus of two countries is performed(110). Two countries language corpus is arranged with a word as a unit(120). A target language noun phrase candidate is extracted from two countries language corpus arranged with a word as a unit(130). A noun phrase translation knowledge construction candidate is selected by filtering the target language noun phrase candidates(140). The noun phrase translation knowledge is collected based on the machine translation result of the source language(160). The noun phrase pattern candidate is selected by searching the generalized pattern from pattern database(180). The result of correction or selection by a user is saved in the corresponding database(200).
Abstract translation: 目的：提供用于通过短语学习翻译知识的方法和装置，以可靠和准确地扩展翻译知识，因为用户通过名词短语来校正翻译知识。 规定：执行两国语言语料库语言语法分析（110）。 两个国家的语言语料库以单词（120）的形式排列。 从两个国家提取目标语言名词短语候选人，语言语料库以单词排列（130）。 通过过滤目标语言名词短语候选者（140）来选择名词短语翻译知识建构候选者。 基于源语言的机器翻译结果收集名词短语翻译知识（160）。 通过从模式数据库搜索广义模式来选择名词短语模式候选者（180）。 用户的校正或选择的结果保存在相应的数据库（200）中。
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公开(公告)号：KR101120038B1
公开(公告)日：2012-03-23
申请号：KR1020080131776
申请日：2008-12-22
Applicant: 한국전자통신연구원
Abstract: 본 발명은 주제를 대표할 수 있는 신조어인지 여부에 따라 우선순위를 결정하여 신조어를 선정한다는 것으로, 이를 위하여 본 발명은, 다양한 유형에 따른 신조어를 모두 추출하거나 전체 말뭉치를 이용하여 신조어를 선정하거나 선정된 신조어 후보를 사람이 직접 일일이 검토하여 신조어를 선정하는 종래 방법과는 달리, 신조어 후보에 대한 키워드를 추출하고, 추출된 키워드에 대한 주제를 탐지 및 추적한 후 그 주제의 대표어가 될 수 있는지 여부에 따라 우선 순위를 결정한 후에, 결정된 우선 순위에 따라 신조어를 선정함으로써, 신조어 선정을 효과적으로 수행할 수 있는 것이다.
자동 번역 시스템, 신조어(neologism)-
公开(公告)号：KR101092361B1
公开(公告)日：2011-12-09
申请号：KR1020080131775
申请日：2008-12-22
Applicant: 한국전자통신연구원
Abstract: 본발명은목표언어가중국어인자동번역시스템에서의대역어생성기법에관한것으로, 통계기반의의미모호성을해소하거나구문변환으로는정확한번역이어려운상황에서, 중국어부사생성을위하여다중부사변환패턴, 부사-용언변환패턴, 중국어부사부정형위치사전및 중국어복합동사사전과같은패턴과지식사전을활용하여부사의생성위치에따른대역어를결정함으로써, 목표언어가중국어인자동번역시스템에서중국어부사에대응하는대역어를효과적으로생성할수 있는것이다.
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公开(公告)号：KR1020110066359A
公开(公告)日：2011-06-17
申请号：KR1020090122977
申请日：2009-12-11
Applicant: 한국전자통신연구원
CPC classification number: G06F17/277 , G06F17/218
Abstract: PURPOSE: An apparatus for extracting vocabulary pattern including a syntactic node and a method thereof are provided to effectively extract the vocabulary pattern suited for grammar units by extracting vocabulary patterns including the syntactic node from massive text based on statistical and linguistic means. CONSTITUTION: Sentences which exceeds a frequency threshold is removed from a text document(202). Sentences which does not exceed the frequency threshold is tagged(203). A lexical pattern is generated about the tagged sentences, and the frequency of the vocabulary patterns is calculated(204). The vocabulary patterns are filtered. An illustrative sentence about the vocabulary patterns is added(206). The vocabulary patterns are outputted according to the priority(207).
Abstract translation: 目的：提供一种用于提取包括句法节点的词汇模式及其方法的装置，以通过基于统计和语言手段从大量文本中提取包括语法节点的词汇模式，有效地提取适合于语法单元的词汇模式。 构成：从文本文档（202）中删除超过频率阈值的句子。 不超过频率阈值的句子被标记（203）。 产生关于标记的句子的词汇模式，并计算词汇模式的频率（204）。 词汇模式被过滤。 添加了关于词汇模式的说明性句子（206）。 根据优先级输出词汇模式（207）。
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公开(公告)号：KR1020110057631A
公开(公告)日：2011-06-01
申请号：KR1020090114107
申请日：2009-11-24
Applicant: 한국전자통신연구원
CPC classification number: G06F17/277 , G06F17/2755 , G06F17/2785
Abstract: PURPOSE: A compound noun decision apparatus and method thereof are provided to determine the sphere range of a compound noun by determining a semantic relation between nouns according to a semantic relation within a sentence. CONSTITUTION: A noun range recognition unit(102) selects a phrase binding target noun according to morpheme analysis result of the inputted sentence. A semantic relation decision unit(106) uses a semantic constraint condition and analyzes semantic relation between noun and verb. A noun range decision unit(110) determines phrase range according to a decision result.
Abstract translation: 目的：提供一种复合名词决定装置及其方法，以通过根据句子内的语义关系确定名词之间的语义关系来确定复合名词的范围。 构成：名词范围识别单元（102）根据输入的句子的语素分析结果选择短语绑定目标名词。 语义关系决策单元（106）使用语义约束条件并分析名词和动词之间的语义关系。 名词范围决定单元（110）根据判定结果确定短语范围。
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