• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.2
• /
• pp.127-136
• /
• 2020

This paper presents an environment for rule-based English-Korean machine translation system, which supports the translation domain adaptation and the continuous translation quality improvement. For the purposes, corpus is essential, from which necessary information for translation will be acquired. The environment consists of a corpus construction part and a translation knowledge extraction part. The corpus construction part crawls news articles from some newspaper sites. The extraction part builds the translation knowledge such as newly-created words, compound words, collocation information, distributional word representations, and so on. For the translation domain adaption, the corpus for the domain should be built and the translation knowledge should be constructed from the corpus. For the continuous improvement, corpus needs to be continuously expanded and the translation knowledge should be enhanced from the expanded corpus. The proposed web-based environment is expected to facilitate the tasks of domain adaptation and translation system improvement.

• ETRI Journal
• /
• v.37 no.3
• /
• pp.541-550
• /
• 2015

In this paper, we propose a classification-based approach for hybridizing statistical machine translation and rulebased machine translation. Both the training dataset used in the learning of our proposed classifier and our feature extraction method affect the hybridization quality. To create one such training dataset, a previous approach used auto-evaluation metrics to determine from a set of component machine translation (MT) systems which gave the more accurate translation (by a comparative method). Once this had been determined, the most accurate translation was then labelled in such a way so as to indicate the MT system from which it came. In this previous approach, when the metric evaluation scores were low, there existed a high level of uncertainty as to which of the component MT systems was actually producing the better translation. To relax such uncertainty or error in classification, we propose an alternative approach to such labeling; that is, a cut-off method. In our experiments, using the aforementioned cut-off method in our proposed classifier, we managed to achieve a translation accuracy of 81.5% - a 5.0% improvement over existing methods.

• Korean Journal of Acupuncture
• /
• v.33 no.3
• /
• pp.114-120
• /
• 2016

Objectives : It aims to establish a basic rule in Korean translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Based on the rule, We tried to make standard translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Methods : Books needed for this study were collected through searching Kyunghee University Library(http:// khis.khu.ac.kr). Keywords included "Miraculous Pivot of Huangdi's Internal Classic". We also include the book which is generally used as a textbook in Colleges of Korean Medicine. Results : In five Chinese books, the word-spacing was used differently in four phrases. Six Korean-translated books had the different translation in three phrases. We suggested a standard Korean translation of the pathway of lung meridian in Miraculous Pivot Meridian vessel. Conclusions : This result of the study would be expected to not only be published in Korean Journal of Acupuncture but be studied more about Korean translation by experts in this field.

• Journal of KIISE:Software and Applications
• /
• v.37 no.11
• /
• pp.826-836
• /
• 2010

This paper proposes a hybrid machine translation system which integrates SMT, RBMT, and PBMT in serial manner. SMT in our project has been implemented as a Quasi-syntax-based system where monotone search is done, given a preprocessed string of foreign language. Preprocessing includes rule-based reordering, NE recognition, clausal splitting, and attaching pattern translation information at the end of the input text. For lengthy & complex sentences, clausal splitting turned out to generate better translation than normal input.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06d
• /
• pp.214-219
• /
• 2007

생성 규칙(Production Rule)과 이를 기반으로 하는 규칙 엔진(Rule Engine)을 기반으로 한 OWL 추론 엔진은 메타 규칙((Meta Rule)에 의존해 왔다. 메타 규칙은 OWL의 의미론 (Semantics)을 표현하기 용이하여 보다 손쉽게 OWL 추론 엔진을 구현할 수 있다는 장점을 제공하였으나 OWL 추론 성능에 있어 추론 속도와 대용량 온톨로지 처리 측면에서 모두 만족할 만한 성과를 얻지 못하였다. 본 논문은 DLP(Description Logic Programming)의 번역 접근법을 기반으로 한 번역 규칙(Translation Rules)을 메타 규칙과 혼용하는 OWL 추론 기법을 소개한다. LUBM 벤치마크를 통해 이 기법이 메타 규칙만을 이용했을 때 보다 100% 이상 추론 성능을 향상시켰을 뿐 아니라 메모리 사용량도 대폭 축소시켰음을 확인할 수 있었다. 또한, 번역을 통해 제한없는 차수 제약(Cardinality Restriction) 관련 추론을 지원하는 등 보다 넓은 범위의 OWL 추론을 지원할 수 있다.

• Journal of KIISE:Databases
• /
• v.34 no.6
• /
• pp.528-545
• /
• 2007

Recently ontology has been an attractive technology along with the business strategy of providing a plenty of more intelligent services. The essential problem in application domains using ontology is that all members, agents, and application programs in the domains must share the same ontology concepts. However, a variety of mobile devices, sensing devices, and network components manufactured by various companies, a variety of common carriers, and a variety of contents providers make multiple heterogeneous ontologies more likely to coexist. We can see many past researches fallen into resolving this semantic interoperability. Such methods can be broadly classified into by-mapping, by-merging, and by-translation. In this research, we focus on by-translation among them which uses a translation rule directly made between two heterogeneous ontology data like OntoMorph. However, the manual composition of the direct translation rule is not convenient by itself and if there are N ontologies, the direct method has the rule composition complexity of $O(N^2)$ in the worst case. Therefore, in this paper we introduce the cascade composition of translation rules based on web openness in order to improve the complexity. The research result made us recognize some important factors in an ontology translation system, that is speediness of translation, and conveniency of translation rule composition, and some experiments and comparing analysis with existing methods showed that our cascade method has more conveniency with insuring the speediness and the correctness.

• International Journal of Computer Science & Network Security
• /
• v.22 no.4
• /
• pp.245-253
• /
• 2022

Commenced in 1954 by IBM, machine translation has expanded immensely, particularly in this period. Machine translation can be broken into seven main steps namely- token generation, analyzing morphology, lexeme, tagging Part of Speech, chunking, parsing, and disambiguation in words. Morphological analysis plays a major role when translating Indian languages to develop accurate parts of speech taggers and word sense. The paper presents various machine translation methods used by different researchers for Indian languages along with their performance and drawbacks. Further, the paper concentrates on parts of speech (POS) tagging in Marathi dialect using various methods such as rule-based tagging, unigram, bigram, and more. After careful study, it is concluded that for machine translation, parts of speech tagging is a major step. Also, for the Marathi language, the Hidden Markov Model gives the best results for parts of speech tagging with an accuracy of 93% which can be further improved according to the dataset.

• KIPS Transactions on Software and Data Engineering
• /
• v.5 no.1
• /
• pp.21-28
• /
• 2016

The performance of an English-Korean machine translation system depends heavily on its English parser. The parser in this paper is a part of the rule-based English-Korean MT system, which includes many syntactic rules and performs the chart-based parsing. The parser generates too many structures due to many syntactic rules, so much time and memory are required. The rule-based parser has difficulty in analyzing and translating the long sentences including the commas because they cause high parsing complexity. In this paper, we propose the 3-phase parsing method with sentence segmentation to efficiently translate the long sentences appearing in usual. Each phase of the syntactic analysis applies its own independent syntactic rules in order to reduce parsing complexity. For the purpose, we classify the syntactic rules into 3 classes and design the 3-phase parsing algorithm. Especially, the syntactic rules in the 3rd class are for the sentence structures composed with commas. We present the automatic rule acquisition method for 3rd class rules from the syntactic analysis of the corpus, with which we aim to continuously improve the coverage of the parsing. The experimental results shows that the proposed 3-phase parsing method is superior to the prior parsing method using only intra-sentence segmentation in terms of the parsing speed/memory efficiency with keeping the translation quality.

• Proceedings of the IEEK Conference
• /
• 1999.06a
• /
• pp.997-1000
• /
• 1999

Conventional rule-based approaches have some problems caused by rule maintenance. Also they have some limitations to get the high quality translation results. This paper presents new English-Korean transfer approach that uses patterns and examples on limited domains. The use of patterns and examples can resolve the ambiguities and give high quality of MT Proposed approach can be applied in various NLP related area. Experimental results with a test corpus are discussed.

• Journal of KIISE:Software and Applications
• /
• v.41 no.7
• /
• pp.501-517
• /
• 2014

Binary translation is a restructuring process in order to execute a program targeting a specific device on the other devices. In binary translation, it is very important to generate the translation rules between two devices. There are two methods for generating the translation rules, direct and indirect mapping. The direct mapping is the method for performance, while the indirect mapping is the method for retargetability. This paper suggests a binary translation method based on the direct mapping for the embedded systems. Because, however, the retargetability is also important requirement, we suggest the direct mapping based binary translation with considering the retargetability. In addition, we implement an automatic generation tool for translation rules to prove our concept. Through this method, we can generate the translation rules with considering the performance as well as the retargetability. Furthermore, we can reduce costs for the binary translation.