• Title/Summary/Keyword: morphological processing

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Morphological processing within the learning of new words: A study on individual differences (새로운 단어의 학습에서 형태소 처리의 영향: 개인차 연구)

  • Bae, Sungbong;Yi, Kwangoh;Masuda, Hisashi
    • Korean Journal of Cognitive Science
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    • v.27 no.2
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    • pp.303-323
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    • 2016
  • The present study aims to investigate how differences in terms of morphological awareness (MA) influence the learning of new words in young adults. Divided into two groups according to their MA, participants were asked to learn the meanings of rare Hanja words in both morphologically supported and unsupported sentence contexts. The results indicate that high-MA participants were more successful in learning the meanings of the words than the low-MA participants and that the group difference lasted for one week after learning. More importantly, the effect of MA was greater for rare words appearing within morphological supported sentences. These results suggest that both the availability of morphological analyses during learning and individual differences in MA influence the learning of word meanings.

A Reranking Model for Korean Morphological Analysis Based on Sequence-to-Sequence Model (Sequence-to-Sequence 모델 기반으로 한 한국어 형태소 분석의 재순위화 모델)

  • Choi, Yong-Seok;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.4
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    • pp.121-128
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    • 2018
  • A Korean morphological analyzer adopts sequence-to-sequence (seq2seq) model, which can generate an output sequence of different length from an input. In general, a seq2seq based Korean morphological analyzer takes a syllable-unit based sequence as an input, and output a syllable-unit based sequence. Syllable-based morphological analysis has the advantage that unknown words can be easily handled, but has the disadvantages that morpheme-based information is ignored. In this paper, we propose a reranking model as a post-processor of seq2seq model that can improve the accuracy of morphological analysis. The seq2seq based morphological analyzer can generate K results by using a beam-search method. The reranking model exploits morpheme-unit embedding information as well as n-gram of morphemes in order to reorder K results. The experimental results show that the reranking model can improve 1.17% F1 score comparing with the original seq2seq model.

Measurement of Sizes and Velocities of Spray Droplets by Image Processing Method (영상 처리에 의한 분무 액적의 크기 및 속도 추출)

  • Choo, Y.J.;Kang, B.S.
    • Journal of ILASS-Korea
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    • v.7 no.4
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    • pp.23-31
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    • 2002
  • In this study, the sizes and velocities of droplets in sprays were measured by image processing method from digital images of local region of sprays. The morphological method based on the Euclidean distance transform, Watershed separation, and perimeter image was adopted for the recognition and separation of overlapped particles. The match probability method was used for the particle tracking and pairing. The measurement results show that the present method may be reliable for the analysis of the motion and distribution of droplets produced by spray and atomization devices.

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Support-generation Method Using the Morphological Image Processing for DLP 3D Printer (DLP 3D 프린터를 위한 형태학적 영상처리를 이용한 서포터 생성 방법)

  • Lee, Seung-Mok;Kim, Young-Hyung;Eem, Jae-Kwon
    • The Journal of Korean Institute of Information Technology
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    • v.15 no.12
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    • pp.165-171
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    • 2017
  • This paper proposes a method of support-generation using morphological image processing instead of geometric calculations. The geometric computational cost is dependent on the shape, but our method is independent on the shape. For obtaining the external support area for extrusion shape, we represents morphological operations between two sliced layer images and shows results of each operation stages. Internal support area is evaluated from erosion and opening operations with the sliced-layer image. In these support areas, the supporter image is generated using the designed support structures. Also, we made a DLP printer and the STL model included supporter-structure is printed by the DLP printer. We confirmed the necessity of support-generation method with the support structures individually dependent on materials by looking at the printed results.

Preprocessing of the French Sentence for Multilingual Information Processing (다국어 정보처리를 위한 불어 전처리에 관한 연구)

  • Seo, Rae-Won;Park, Se-Won;Yu, Seong-Jun
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.4
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    • pp.1132-1140
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    • 2000
  • The purpose of this paper was to present the method of progress efficiency of morphosyntaxical analyzer for French information processing in the view of multilingual information processing. This study indicated that he method prohibit the additional useless word type by decomposing word type by decomposing works which were created by morphological amalgamation. Findings also suggested the need of preprocessing in order to decrease the overload of morphosyntaxical analysis algorithm. In addition, general rules were proposed to divide word form and to decompose complex sentence.

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Morphological Detection of Carotid Intima-Media Region for Fully Automated Thickness Measurement by Ultrasonogram

  • Park, Hyun Jun;Kim, Kwang Baek
    • Journal of information and communication convergence engineering
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    • v.15 no.4
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    • pp.250-255
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    • 2017
  • In this paper, we propose a method of detecting the region for measuring intima-media thickness (IMT). The existing methods for IMT measurement are automatic, but the region used for measuring IMT is not detected automatically but often set by the user. Therefore, research on detecting the intima-media region is needed for fully automated IMT measurement. The proposed method uses a morphological feature of the carotid artery visible as two long high-brightness horizontal lines at the upper and lower parts. It uses Gaussian blurring, ends-in search stretching, color quantization using a color-importance-based self-organizing map, and morphological operations to emphasize and to detect the morphological feature. The experimental results for evaluating the performance of the proposed method showed a 97.25% (106/109) success rate. Therefore, the proposed method can be used to develop a fully automated IMT measurement system.

A Morphological Study on the Titanium-Oxide Foams Processed Using Freeze-Casting (동결 주조법으로 제조된 티타늄 옥사이드 폼의 구조 연구)

  • Yoon, Hyunjung;Choe, Heeman;Choi, Hyelim
    • Journal of the Korean Ceramic Society
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    • v.49 no.5
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    • pp.427-431
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    • 2012
  • The $TiO_2$ foam synthesized using freeze-casting is a promising photocatalyst and photovoltaic electrode for a variety of energy applications, because the freeze-casting technique is easy to use, cheap, and suitable for mass-production. Despite its several advantages, little scientific information is available on the processing and morphology of the $TiO_2$ foams processed by freeze-casting. In particular, no systematic study has been performed on the microstructural evolution and morphological change of the rutile-phase $TiO_2$ foams during sintering. Therefore, in the present study, several $TiO_2$ foam samples were produced using the freeze-casting technique, which were then sintered at a relatively high temperature of $1200^{\circ}C$ for 1, 2, and 4 h to compare the morphological changes in the microstructure and to understand the effects of processing parameters of the rutile-phase $TiO_2$ foams. The foam ligament size increased near linearly with increasing sintering time whereas the average pore size decreased only slightly with increasing sintering time, with changes in particle morphology from sphere to rod and complete phase transformation from anatase to rutile.

Auto-Segmentation Algorithm For Liver-Vessel From Abdominal MDCT Image Using Morphological Filtering (Morphological Filtering을 이용한 복부 MDCT 영상의 간혈관 자동 추출 알고리즘)

  • Park, Chun-Ja;Ryu, Gang-Min;Park, Jong-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.819-822
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    • 2005
  • 본 연구는 MDCT 영상을 이용하여 인체의 장기인 간을 추출하고 그 간 내부의 혈관을 추출하는 알고리즘을 제안하였다. 간에는 2개의 주요혈관이 있는데 생체 간 이식 수술시 필수적인 간의 절개 비율 및 간 내의 혈관 모습들을 제공하여 의료진에게 수술 전 혈관 형태에 대한 정확히 정보를 파악하도록 함으로써 혈관의 손상을 최대한으로 줄일 수 있도록 하여 수술 성공률을 높이는데 중요한 역할을 할 수 있다. 간을 이식 할 때 기증자와 수혜자가 동시에 생존하기 위해서는 기증자의 간으 크기가 중요하며 둘다 생존하기 위해서는 기증자는 자신의 간의 35% 이상을 남겨야 하며 수혜자 또한 생존을 위해 자신의 간의 40% 이상에 해당하는 간을 이식 받아야 하는데 간 이식에 있어서 절단 부분을 결정하는데 중요한 중간 정맥을 찾아내어 보여 줌으로써 중간 정맥을 중심으로 3가닥의 굵은 혈관과 주변혈관의 손상을 최소화하고 비율을 잘 맞추어 절단 할 수 있도록 수술하는데 도움을 줄 수 있다. 각 혈관은 원형성과 다양한 각도를 갖는 막대형의 형태를 가지고 있다는 특징을 이용해 morphological filtering을 통해 추출한 후 조합하여 재구성을 하여 혈관의 모습으로 생성해 낼 수 있었다.

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