Development of a Multilingual Information Retrieval and Check System Based on Database Semantic

نویسندگان

  • Kiyong Lee
  • Suk-Jin Chang
  • Yun-Pyo Hong
  • Key-Sun Choi
  • Minhaeng Lee
  • Jae Sung Lee
  • Jungha Honga
  • Juho Lee
  • Junsik Hong
چکیده

Technical documents for multilateral agreements or international business transactions are normally produced in a bilingual or multilingual form. Being mostly of legal nature, these documents require especially accurate and speedy translations by expert translators. In order to aid these experts, automatic ways of checking translation results (such as a spelling checker) would be highly desirable. This paper describes the MIRAC system for Multilingual Information Retrieval And Checking. It is designed to find translation errors in multilingual documents, and to evaluate the overall results of translation. Unlike a machine translation or a translation memory system [Volk98, Webb98], the primary function of the MIRAC system is to evaluate previously translated and aligned documents in source and target languages, while dynamically building a database that consists of aligned multilingual texts carrying semantically equivalent content.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Semiautomatic Image Retrieval Using the High Level Semantic Labels

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

Development of a Combined System Based on Data Mining and Semantic Web for the Diagnosis of Autism

Introduction: Autism is a nervous system disorder, and since there is no direct diagnosis for it, data mining can help diagnose the disease. Ontology as a backbone of the semantic web, a knowledge database with shareability and reusability, can be a confirmation of the correctness of disease diagnosis systems. This study aimed to provide a system for diagnosing autistic children with a combinat...

متن کامل

GRISP: A Massive Multilingual Terminological Database for Scientific and Technical Domains

The development of a multilingual terminology is a very long and costly process. We present the creation of a multilingual terminological database called GRISP covering multiple technical and scientific fields from various open resources. A crucial aspect is the merging of the different resources which is based in our proposal on the definition of a sound conceptual model, different domain mapp...

متن کامل

Automatic Construction of Persian ICT WordNet using Princeton WordNet

WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • LDV Forum

دوره 16  شماره 

صفحات  -

تاریخ انتشار 1999