• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.6
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• pp.385-393
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• 2017

As the use of mobile devices such as smartphones increases, there is growing interest on the benefits of virtualization in embedded systems. Full virtualization has the advantage of running the guest virtual machine without modifying the guest operating system. However, full virtualization suffers slow execution speed due to the cost of context switching between the virtual machines and the virtual machine monitor. In this paper, we propose a translated block and context switching optimization to improve the guest execution speed in the embedded system. As a result, the improved dynamic binary translator is up to 5.95 times faster than the native execution. Performance degradation is less than that of the other virtualization system.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.1082-1087
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• 1994

A set of text database is indispensable to the probabilistic models for speech recognition, linguistic model, and machine translation. We introduce an environment to canstruct text databases : an automatic tagging system and a set of tools for lexical knowledge acquisition, which provides the facilities of automatic part of speech recognition and guessing.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.2
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• pp.79-88
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• 2019

Machine translation (MT) system, especially Korean-Mongolian MT system, has recently attracted much attention due to its necessary for the globalization generation. Korean and Mongolian have the same sentence structure SOV and the arbitrarily changing of their words order does not change the meaning of sentences due to postpositional particles. The particles that are attached behind words to indicate their grammatical relationship to the clause or make them more specific in meaning. Hence, the particles play an important role in the translation between Korean and Mongolian. However, one Korean particle can be translated into several Mongolian particles. This is a major issue of the Korean-Mongolian MT systems. In this paper, to address this issue, we propose a method to use the combination of UTagger and a Korean-Mongolian particles table. UTagger is a system that can analyze morphologies, tag POS, and disambiguate homographs for Korean texts. The Korean-Mongolian particles table was manually constructed for matching Korean particles with those of Mongolian. The experiment on the test set extracted from the National Institute of Korean Language's Korean-Mongolian Learner's Dictionary shows that our method achieved the accuracy of 88.38% and it improved the result of using only UTagger by 41.48%.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.2
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• pp.37-45
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• 1999

CORBA IDL and RMI, the representative of distributed object model, support different approaches for distributed computing environments. CORBA approach does not support the application generated by RMI, even though it supports multiple programming languages. Object translation system between RMI to CORBA is designed and implemented for interoperability of distributed objects on the two different distributed programming environments. Suggested system is considered binding, inheritance, polymorphism, object passing, and callback which are key properties on the distributed objects. To validate the usefulness of the proposed system, we adopt a model for distrubuted objects and implement it as an application on the RMI environment. And, we translated it to an application on the CORBA environment. We observed the performance of translated application in the respect of inheritance, object passing, polymorphism across the machine boundary. Experiments showed that performance of distributed objects, those generated by translation system and those implemented on the CORBA environment, is equivalent.

• The KIPS Transactions:PartB
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• v.11B no.4
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• pp.491-500
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• 2004

This paper presents an ontology construction method using various computational language resources, and an ontology-based word sense disambiguation method. In order to acquire a reasonably practical ontology the Kadokawa thesaurus is extended by inserting additional semantic relations into its hierarchy, which are classified as case relations and other semantic relations. To apply the ontology to disambiguate word senses, we apply the previously-secured dictionary information to select the correct senses of some ambiguous words with high precision, and then use the ontology to disambiguate the remaining ambiguous words. The mutual information between concepts in the ontology was calculated before using the ontology as knowledge for disambiguating word senses. If mutual information is regarded as a weight between ontology concepts, the ontology can be treated as a graph with weighted edges, and then we locate the weighted path from one concept to the other concept. In our practical machine translation system, our word sense disambiguation method achieved a 9% improvement over methods which do not use ontology for Korean translation.

• Language and Information
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• v.4 no.2
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• pp.1-26
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• 2000

The purpose of this paper is to establish the standard method of evaluation English-to-Korean MT systems We focus on test suites, evaluation procedure and evaluation results. Four computer programs on the market are tested on a test suite consisting of 1,501 sentence, The quality of translation and the capacity of MT system are the key points for evaluation . The sentences in the suite are classified according to the grammatical properties they reveal. The classificatory scheme has the structure of a directory: each sentence belongs to a subclass, which belongs to a major class,. We place the sentences in the test suite on a scale of difficulty (hard ordinary easy) and each output sentence is graded on a scale of four accuracy levels. We also test the programs with respect to their speed.

• MALSORI
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• v.68
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• pp.95-114
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• 2008

The recent growing popularity of statistical methods in machine translation requires much more large parallel corpora. A Korean-English parallel corpus, however, is not yet enoughly available, little research on this subject is being conducted. In this paper we present a hybrid method of aligning sentences for Korean-English parallel corpora. We use bilingual news wire web pages, reading comprehension materials for English learners, computer-related technical documents and help files of localized software for building a Korean-English parallel corpus. Our hybrid method combines sentence-length based and word-correspondence based methods. We show the results of experimentation and evaluate them. Alignment results from using a full translation model are very encouraging, especially when we apply alignment results to an SMT system: 0.66% for BLEU score and 9.94% for NIST score improvement compared to the previous method.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.307-310
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• 1995

In the conventional systems, a human must have knowledge of machines and of their special language in communicating with machines. In one side, it is desirable for a human but in another side, it is true that achieving it is very elaborate and is also a significant cause of human error. To reduce this sort of human load, an intelligent man-machine interface is desirable to exist between a human operator and machines to be operated. In the ordinary human communication, not only linguistic information but also visual information is effective, compensating for each others defect. From this viewpoint, problem of translating verbal expressions to some visual image is discussed here in this paper. The location relation between any two objects in a visual scene is a key in translating verbal information to visual information, as is the case in Fig.l. The present translation system advances in knowledge with experience. It consists of Japanese Language processing, image processing, and Japanese-scene translation functions.

• Language and Information
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• v.5 no.2
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• pp.21-37
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• 2001

Pustejovsky (1995) rekindled debate on the dual problems of how to represent lexical meaning and on the information that is to be encoded in a lexicon. For natural language processing such as machine translation, these are important issues. When a lexical-conceptual mismatch occurs in translation of corresponding words from two different languages, the appropriate representation of their meanings is very important. This paper proposes a new formalism for representing lexical entries by first analysing observable mismatches in comparable pairs of nouns, verbs, and adjectives in English and Korean. Inherent mis-interpretations and mis-readings in each pair are identified. Then, concept theories such as those presented by Ganter and Wille (1996) and Priss (1998) are extended in order to reflect the cognitivist view that meaning resides in concept, and also to incorporate the propositions of the so-called ‘multiple inheritance’system. An alternative to the formalism of Pustejovsky (1995) and Pollard & Sag (1994) is then proposed. Finally, representative examples of lexical mismatches are analysed using the new model.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.350-357
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• 2000

본 논문은 근 몇 년간 꾸준히 진행되어진 중한 기계번역시스템에 대한 연구의 기초 위에서, 뉴스 타이틀 번역이라는 특정 도메인에 초점을 맞추어 이의 언어적 특성을 살펴보고, 중한 언어적 유사성에 기반 한 뉴스 타이틀 번역을 위한 중한 기계번역시스템에 대하여 설명한다.