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Native Influence on the Production of English Intonation

  • Kim, Ok-Young
    • Speech Sciences
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    • v.15 no.1
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    • pp.25-36
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    • 2008
  • Language transfer means that the speaker's first language or previously acquired language influences on the production of the target language. This study aims at examining if there is native language influence on the production of English intonation by Korean speakers. The pitch accent patterns and the values of duration, F0, and intensity of the stressed vowel of the word with emphatic accent in the sentence produced by Korean speakers are compared to those of American English speakers. The results show that when the word receives emphatic accent in the sentence, American English speakers put H* accent on the stressed syllable of the word, but Korean speakers mostly assign high pitch on the last syllable of the word and have LH tonal pattern despite the fact that primary stress does not come on the last syllable within a word. In addition, comparison of the values of duration, F0, and intensity of the stressed vowel of the word with emphatic accent to those of the word with unmarked neutral accent shows that Korean speakers do not realize the intonation of the accented word appropriately because the values decrease even though the word has emphatic accent. This study finds out that there are differences in the production of English intonation of the word with emphatic accent between native speakers of English and Korean speakers, and that there is negative transfer of Korean intonation pattern to the production of English intonation by Korean speakers.

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Analyzing Errors in Bilingual Multi-word Lexicons Automatically Constructed through a Pivot Language

  • Seo, Hyeong-Won;Kim, Jae-Hoon
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.2
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    • pp.172-178
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    • 2015
  • Constructing a bilingual multi-word lexicon is confronted with many difficulties such as an absence of a commonly accepted gold-standard dataset. Besides, in fact, there is no everybody's definition of what a multi-word unit is. In considering these problems, this paper evaluates and analyzes the context vector approach which is one of a novel alignment method of constructing bilingual lexicons from parallel corpora, by comparing with one of general methods. The approach builds context vectors for both source and target single-word units from two parallel corpora. To adapt the approach to multi-word units, we identify all multi-word candidates (namely noun phrases in this work) first, and then concatenate them into single-word units. As a result, therefore, we can use the context vector approach to satisfy our need for multi-word units. In our experimental results, the context vector approach has shown stronger performance over the other approach. The contribution of the paper is analyzing the various types of errors for the experimental results. For the future works, we will study the similarity measure that not only covers a multi-word unit itself but also covers its constituents.

The Impact of Word of Mouth on Customer Perceived Value for the Malaysian Restaurant Industry

  • Oluwafemi, Adebusoye Shedrack;Dastane, Omkar
    • Asian Journal of Business Environment
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    • v.6 no.3
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    • pp.21-31
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    • 2016
  • Purpose - The purpose of this research is to determine the impact of word of mouth on customer perceived value for restaurants in Malaysia. The objectives of this research include determining how word of mouth (WoM) factors - frequency of word of mouth messages, reputation of word of mouth messenger, richness of word of mouth message, dispersion of word of mouth conversations and manner of word of mouth delivery impact customer perceived value in Malaysian restaurant industry. Research Design, Data, and Methodology - The research follows causal / explanatory research method based on quantitative data. A sample of 150 restaurant customers in Kuala Lumpur, Malaysia was selected using convenience sampling technique. Likert scale questionnaire is used to collect data and data is analysed using regression analysis through SPSS 22. Results - The statistical analysis revealed that independent variable 'manner of delivery' significantly and positively impacts customer perceived value for restaurants in Malaysia. Conclusions - To build strong positive customer perception, Malaysian restaurants can enhance word of mouth campaigns' 'manner of delivery' by making them passionate, exciting and with high emotional appeal.

A Study on Word Juncture Modeling for Continuous Speech Recognition of Korean Language (한국어 연속음성 인식을 위한 단어 결합 모델링에 관한 연구)

  • Choi, In-Jeong;Un, Chong-Kwan
    • The Journal of the Acoustical Society of Korea
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    • v.13 no.5
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    • pp.24-31
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    • 1994
  • In this paper, we study continuous speech recognition of Korean language using acoustic models of word juncture coarticulation. To alleviate the performance degradation due to coarticulation problems, we use context-dependent units that model inter-word transitions in addition to intra-word transitions. In all cases the initial phone of each word has to be specified for each possible final phone of the previous word similarly for the final phone of each word. To improve the robustness of the HMM parameters, the covariance matrix is smoothed. We also use position-dependent units to improve the discriminative power between units. Simulation results show that when the improved models of word juncture coarticulation are used. the recognition performance is considerably improved compared to the baseline system using only intra-word units.

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A Test Algorithm for Word-Line and Bit-line Sensitive Faults in High-Density Memories (고집적 메모리에서 Word-Line과 Bit-Line에 민감한 고장을 위한 테스트 알고리즘)

  • 강동철;양명국;조상복
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.4
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    • pp.74-84
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    • 2003
  • Conventional test algorithms do not effectively detect faults by word-line and bit-line coupling noise resulting from the increase of the density of memories. In this paper, the possibility of faults caused by word-line coupling noise is shown, and new fault model, WLSFs(Word-Line Sensitive Fault) is proposed. We also introduce the algorithm considering both word-line and bit-line coupling noise simultaneously. The algorithm increases probability of faults which means improved fault coverage and more effective test algorithm, compared to conventional ones. The proposed algorithm can also cover conventional basic faults which are stuck-at faults, transition faults and coupling faults within a five-cell physical neighborhood.

A study on the effect of negative word-of-mouth of dental clinic patients (치과의료기관 내원환자의 부정적 입소문 전파에 관한 연구)

  • Yang, Hae-Young
    • Journal of Korean society of Dental Hygiene
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    • v.8 no.4
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    • pp.79-88
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    • 2008
  • This study was done to investigate the negative word-of-mouth style and effect of communication with negative word-of-mouth from dental clinic patients. Data were collected from 223 dental clinic patients living in Seoul and GyeongGi-Do. The study was collected from October 15th to October 29th, 2007 with self-recording questionnaires. The results of this study were as follows. First of all, in the characteristic of relationships category, subject who were negative word-of-mouth was more 'persuader person' than others. The results showed that the general characteristics of subjects was effective factor of word-of-mouth. Secondly, the behavior scale which was based of negative word-of-mouth was not suitable of the satisfaction of dental clinic service. This results meant the low satisfaction of dental services haven't relation with negative word-of-mouth. Thirdly, 33% of people who have complaints spread negative word-of-mouth. Finally, the main reason of dissatisfaction was long-waiting time for dental clinic service. The results showed the adjustment of dental clinic system and staffs service will prevent negative word-of-mouth spread.

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Word Sense Classification Using Support Vector Machines (지지벡터기계를 이용한 단어 의미 분류)

  • Park, Jun Hyeok;Lee, Songwook
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.11
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    • pp.563-568
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    • 2016
  • The word sense disambiguation problem is to find the correct sense of an ambiguous word having multiple senses in a dictionary in a sentence. We regard this problem as a multi-class classification problem and classify the ambiguous word by using Support Vector Machines. Context words of the ambiguous word, which are extracted from Sejong sense tagged corpus, are represented to two kinds of vector space. One vector space is composed of context words vectors having binary weights. The other vector space has vectors where the context words are mapped by word embedding model. After experiments, we acquired accuracy of 87.0% with context word vectors and 86.0% with word embedding model.

Public word development based on Ajax (Ajax기반 공유 word 개발)

  • Sin, Yeong-Sik;Ko, Sung-Taek
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.7-12
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    • 2006
  • 한때 word process를 하기 위해 PC를 구매하던 때가 있었다. 그리고 지금도 word process 기능은 PC를 쓰는데 없어서는 안 될 기능중 하나이다. 그리고 최근 들어 web2.0의 추세와 함께 일반 application에서 수행하였던 Application들이 Web에서 수행이 가능한 web application으로 변화하고 진화하는 추세이다. 따라서 본 논문에서는 Ajax(Asynchronous Javascript And XML)기반의 공유 word process인 'Ajax기반 공유 word'를 만들었다. 이는 웹에서 WYSIWYG(what you see is what you get)으로 문서를 편집하면서 문서들을 사용자간 공유하고 문서의 변경내용을 다른 사용자가 실시간으로 확인할 수 있는 web application이다.

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Analysis of Lexical Effect on Spoken Word Recognition Test (낱말 인식 검사에 대한 어휘적 특성의 영향 분석)

  • Yoon, Mi-Sun;Yi, Bong-Won
    • Proceedings of the KSPS conference
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    • 2005.04a
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    • pp.77-80
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    • 2005
  • The aim of this paper was to analyze the lexical effects on spoken word recognition of Korean monosyllabic word. The lexical factors chosen in this paper was frequency, density and lexical familiarity of words. Result of the analysis was as follows; frequency was the significant factor to predict spoken word recognition score of monosyllabic word. The other factors were not significant. This result suggest that word frequency should be considered in speech perception test.

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Error Correction of Digital Data in Radio Data System (라디오 데이터 시스템의 디지털 데이터 에러 정정)

  • 김기근
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1991.06a
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    • pp.78-81
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    • 1991
  • Digital radio data is composed of groups which are divided into 4 blocks of 26 bits. And each block is made up of information word and check word. Check word of digital radio data that is composed ofcode word and offset word is used for group/block synchronization and error correction. In this paper, we have investigated the group/block synchronizer using offext word and shortened cyclic decoder for correcting error produced during the radio data transimission. Also, we have simulated the decoding process of the proposed decoder. From the simulation results, we have confirmed that the proposed decoder most with the required coding capcbility.

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