• Title/Summary/Keyword: Vocabulary evaluation

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Vocabulary Expansion Technique for Advertisement Classification

  • Jung, Jin-Yong;Lee, Jung-Hyun;Ha, Jong-Woo;Lee, Sang-Keun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.5
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    • pp.1373-1387
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    • 2012
  • Contextual advertising is an important revenue source for major service providers on the Web. Ads classification is one of main tasks in contextual advertising, and it is used to retrieve semantically relevant ads with respect to the content of web pages. However, it is difficult for traditional text classification methods to achieve satisfactory performance in ads classification due to scarce term features in ads. In this paper, we propose a novel ads classification method that handles the lack of term features for classifying ads with short text. The proposed method utilizes a vocabulary expansion technique using semantic associations among terms learned from large-scale search query logs. The evaluation results show that our methodology achieves 4.0% ~ 9.7% improvements in terms of the hierarchical f-measure over the baseline classifiers without vocabulary expansion.

A study to analyze the adequacy of elementary school mathematics textbooks - Based on the unit structure and vocabulary - (초등학교 수학 교과서 내용 적정성 분석 - 단원 구성 및 어휘 사용을 중심으로 -)

  • Kwon, Jeom Rae
    • The Mathematical Education
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    • v.55 no.3
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    • pp.281-297
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    • 2016
  • There has being developed elementary mathematics textbooks currently based on the 2015 revised mathematics curriculum. Vocabularies used in mathematics textbooks are mainly determined by the authors to develop textbooks. The purpose of this study was to investigate the adequacy of elementary school mathematics textbooks based on the unit structure and vocabulary, and to provide implications for elementary mathematics textbooks which is currently in development, in accordance with the 2015 revised curriculum. As a result, there were found some problems in the unit structure and vocabulary of elementary mathematics textbooks.

Contents Analysis of Vocabulary Learning Game Application on Smart-Phone and Tablet PC for Young Children's Language Learning (유아 언어학습용 단어게임 애플리케이션 분석)

  • Hyun, Eunja;Yeon, Hyemin;Jang, Juyeon;Lee, Eunyoung
    • The Journal of the Korea Contents Association
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    • v.13 no.11
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    • pp.551-561
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    • 2013
  • The purpose of this study was firstly, to evaluate the contents of vocabulary game applications for young children's language learning. and secondly, to examine whether there is any differences between Korean and English word games in terms of the evaluation score. For this purpose, the word game applications in smart phone and tablet PC were analyzed, which included 30 Korean word games and another 30 English ones. The criteria to evaluate the contents were developed based on Children's Software Evaluation Instrument developed by CTR, the multimedia evaluation standard by Hee Sook Park, Young Joo Lee, and mobile contents evaluation standard by Soo Ui Choi. As a result, the educational value got the highest score whereas the design characteristics area got the lowest score in the whole evaluation analysis. And English word game applications mostly got higher score than Korean versions. The result of this study would suggest the way to evaluate educational game applications in use and to contribute to developing educational game contents aimed at young children's language learning.

HMnet Evaluation for Phonetic Environment Variations of Traning Data in Speech Recognition

  • Kim, Hoi-Rin
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.4E
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    • pp.28-36
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    • 1996
  • In this paper, we propose a new evaluation methodology which can more clearly show the performance of the allophone modeling algorithm generally used in large vocabulary speech recognition. The proposed evaluation method shows the running characteristics and limitations of the modeling algorithm by testing how the variation of phonetic environments of training data affects the recognition performance and the desirable number of free parameters to be estimated. Using the method, we experiment results, we conclude that, in vocabulary-independent recognition task, the phonetic diversity of training data greatly affects the robustness of model, and it is necessary to develop a proper measure which can determine the number of states compromizing the robustness and the precision of the HMnet better than the conventional modeling efficiency.

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Development and Evaluation of School Adjustment Program for Young Children from Multi-cultural Families (다문화가정 미취학 아동의 학교생활적응을 위한 프로그램 개발 및 효과 검증)

  • Kim, Jung-Hyun;Sung, Mi-Young;Jung, Hyun-Sim;Kwon, Yun-Jeong
    • Korean Journal of Human Ecology
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    • v.19 no.3
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    • pp.455-469
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    • 2010
  • This study developed and evaluated a school adjustment program for children from multi-cultural families. The program was developed to enhance Korean language ability and adjustment to school for children from multi-cultural backgrounds. 14 preschool children (5 boys and 9 girls) participated in this program. The effect of this program was assessed through a preschool-children's receptive and expressive vocabulary test as well as through a reading ability test. Results showed there was a significant experimental effect (p<.05) in receptive and expressive vocabulary test scores. After the experiment, children showed higher scores in the receptive and expressive vocabulary test than before. Results of the program evaluation revealed this program was helpful for promoting Korean language ability in children and assisted their adjustment to school for children from multi-cultural backgrounds.

Implementation of Vocabulary- Independent Speech Recognizer Using a DSP (DSP를 이용한 가변어휘 음성인식기 구현에 관한 연구)

  • Chung, Ik-Joo
    • Speech Sciences
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    • v.11 no.3
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    • pp.143-156
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    • 2004
  • In this paper, we implemented a vocabulary-independent speech recognizer using the TMS320VC33 DSP. For this implementation, we had developed very small-sized recognition engine based on diphone sub-word unit, which is especially suited for embedded applications where the system resources are severely limited. The recognition accuracy of the developed recognizer with 1 mixture per state and 4 states per diphone is 94.5% when tested on frequently-used 2000 words set. The design of the hardware was focused on minimal use of parts, which results in reduced material cost. The finally developed hardware only includes a DSP, 512 Kword flash ROM and a voice codec. In porting the recognition engine to the DSP, we introduced several methods of using data and program memory efficiently and developed the versatile software protocol for host interface. Finally, we also made an evaluation board for testing the developed hardware recognition module.

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Interoperability of Community-Oriented Subject Vocabulary (커뮤니티 주제 어휘의 상호운용에 관한 연구)

  • Lee, Won-Sook
    • Journal of Korean Library and Information Science Society
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    • v.40 no.1
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    • pp.297-316
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    • 2009
  • In this research, the first the characteristics of community-oriented vocabulary are investigated with preceding researches which are ULIS-DL and Digital Okayama Dai-Hyakka(DODH). The second this paper proposes a few mapping schemes to connect community directories and compares them by applying them to the resource directories of three local governments Tokyo and Hokkaido in Japan and Chungcheongnam-do in Korea. The mapping schemes use National Diet Library Subject Heading(NDLSH) and/or Nippon Decimal Classification(NDC) as a switching language. Evaluation of the proposed schemes shows their advantages and limitations.

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Performance Evaluation of Nonkeyword Modeling and Postprocessing for Vocabulary-independent Keyword Spotting (가변어휘 핵심어 검출을 위한 비핵심어 모델링 및 후처리 성능평가)

  • Kim, Hyung-Soon;Kim, Young-Kuk;Shin, Young-Wook
    • Speech Sciences
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    • v.10 no.3
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    • pp.225-239
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    • 2003
  • In this paper, we develop a keyword spotting system using vocabulary-independent speech recognition technique, and investigate several non-keyword modeling and post-processing methods to improve its performance. In order to model non-keyword speech segments, monophone clustering and Gaussian Mixture Model (GMM) are considered. We employ likelihood ratio scoring method for the post-processing schemes to verify the recognition results, and filler models, anti-subword models and N-best decoding results are considered as an alternative hypothesis for likelihood ratio scoring. We also examine different methods to construct anti-subword models. We evaluate the performance of our system on the automatic telephone exchange service task. The results show that GMM-based non-keyword modeling yields better performance than that using monophone clustering. According to the post-processing experiment, the method using anti-keyword model based on Kullback-Leibler distance and N-best decoding method show better performance than other methods, and we could reduce more than 50% of keyword recognition errors with keyword rejection rate of 5%.

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Relationship between Vocabulary and Design in Design Ideation Process -Focusing on Avant-garde Fashion Design- (디자인 발상 과정에 나타난 어휘와 디자인의 연관성 연구 -아방가르드 패션디자인을 중심으로-)

  • Kim, Yoon Kyoung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.4
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    • pp.727-739
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    • 2021
  • The purpose of this study is to present the objective evaluation semantic scale of avant-garde design. Apparel majors were asked to express associative vocabulary, design development, and final design intentions for the avant-garde, and the final 70 copies were used for analysis. The results found the item style was shown often in the order of dress, coat, and combination of shirt and pants. In order, the silhouettes appeared as atypical, complex, square, and triangular; the decorations appeared as feathers, frills, and round sculptures; and the idea method appeared as extreme, association, and removal method. In examining the relations of associative words and idea designs, the dress had relations with associative words such as 'peculiar,' 'futuristic,' 'fancy,' 'Comme des Garcons,' and 'deconstruction.' As for the relationship between the idea design and the expression image vocabulary, it was found that 'one piece' recalled 'huge,' 'volume,' 'abundant,' 'peculiar,' and 'unknown,' while 'coat' recalled 'huge,' 'big silhouette,' and 'padding.' In conducting the word cloud technique, the overall design showed the central keywords were 'huge,' 'big silhouette,' 'unbalance,' 'feather,' 'structural,' 'unknown,' and 'frill,' in order.

Classification of Vocabulary for Evaluation on Machine Noise at High Noisy Workshop (고소음 작업장 기계소음 평가를 위한 어휘의 유형화)

  • Yun, Jae-Hyun;Kim, Jae-Soo
    • Journal of Korean Society of Environmental Engineers
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    • v.33 no.10
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    • pp.748-755
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    • 2011
  • After the Industrialization of 1960s, while it has greatly contributed to the industrial development owing to acceleration of mechanization, but it is real situation that the countermeasure to noise damage generating at the loud noise workshop is scarcely made. Especially, the machine noise made at factory and workplace is so shocking and repeatedly reiterating terrible noise that most of the spot workers are forcedly imposing such dangers as the severe unpleasant feeling and hearing impairments. On such point of view, this research has attempted to extract the proper rating vocabulary in order for evaluation on machine noise made at the high noisy workshop, therefore it is considering that those extracted vocabularies could be utilized as the useful psycho-acoustic experiment for evaluation on machine noise, also for establishment of regulation standard in domestic high noisy workshop.