• Title/Summary/Keyword: phonetic similarity

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Automatic Recognition of Translation Phrases Enclosed with Parenthesis in Korean-English Mixed Documents (한영 혼용문에서 괄호 안 대역어구의 자동 인식)

  • Lee, Jae-Sung;Seo, Young-Hoon
    • The KIPS Transactions:PartB
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    • v.9B no.4
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    • pp.445-452
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    • 2002
  • In Korean-English mixed documents, translated technical words are usually used with the attached full words or original words enclosed with parenthesis. In this paper, a collective method is presented to recognize and extract the translation phrases with using a base translation dictionary. In order to process the unregistered title words and translation words in the dictionary, a phonetic similarity matching method, a translation partial matching method, and a compound word matching method are newly proposed. The experiment result of each method was measured in F-measure(the alpha is set to 0.4) ; exact matching of dictionary terms as a baseline method showed 23.8%, the hybrid method of translation partial matching and phonetic similarity matching 75.9%, and the compound word matching method including the hybrid method 77.3%, which is 3.25 times better than the baseline method.

Automatic Prediction of 'Anti-Search Variants' of Twitter based on Word Embeddings and Phonetic Similarity (단어 임베딩과 음성적 유사도를 이용한 트위터 '서치 방지 단어'의 자동 예측)

  • Lee, Sangah
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.190-193
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    • 2017
  • '서치 방지 단어'는 SNS 상에서 사용자들이 작성한 문서의 검색 및 수집을 피하기 위하여 사용하는 변이형을 뜻한다. 하나의 검색 키워드가 있다면 그와 같은 대상을 나타내는 변이형이 여러 형태로 존재할 수 있으며, 이들 변이형에 대한 검색 결과를 함께 수집할 수 있다면 데이터 확보가 중요하게 작용하는 다양한 연구에 큰 도움이 될 것이다. 본 연구에서는 특정 단어가 주어진 키워드로부터 의미 벡터 상의 거리가 가까울수록, 그리고 주어진 키워드와 비슷한 음성적 형태 즉 발음을 가질수록, 해당 키워드의 변이형일 가능성이 높을 것이라고 가정하였다. 이에 따라 단어 임베딩을 이용한 의미 유사도와 최소 편집 거리를 응용한 음성적 유사도를 이용하여 주어진 검색 키워드와 유사한 변이형들을 제안하고자 하였다. 그 결과 구성된 변이형 후보의 목록에는 다양한 형태의 단어들이 포함되었으며, 이들 중 다수가 실제 SNS 상에서 같은 의미로 사용되고 있음이 확인되었다.

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What is the neighbors of a word in Korean word recognition\ulcorner (한국어 단어재인의 이웃(neighborhood)단위)

  • Cho Hye Suk;Nam Ki Chun
    • Proceedings of the KSPS conference
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    • 2002.11a
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    • pp.97-100
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    • 2002
  • The purpose of this paper is to investigate the unit of neighbor of Korean words. In English, a word's orthographic neighborhood is defined as the set of words that can be created by changing one letter of the word while preserving letter positions. For example, the words like pike, pole, and tile are all orthographic neighbors of the word 'pile'. In this study, 2 experiments were performed. In these experiments, 4 conditions of prime were included: primes sharing first letter of first syllable(1), first syllable(2), first syllable and the first letter of second syllable with target(3) and with no formal similarity with target(4). In Exp.1, RT was shortest in condition 3. In Exp.2, condition 2 had the shortest RT. We came to the conclusion that in Korean, a word's neighbor is words that share at least one syllable with the word.

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Perception of Korean Prosody by Native Speakers of English and Native Speakers of Korean (영어 원어민과 한국어 원어민의 한국어운율 인식)

  • Yi, So-Pae
    • MALSORI
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    • no.65
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    • pp.1-11
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    • 2008
  • This study explored the perception of transplanted Korean prosody by NE (Native speakers of English) and NK (Native speakers of Korean) listeners. The Korean utterances of various sentence types produced by NE and NK were employed to transplant the original Korean prosody contours to the Korean utterances read by NE. Then, other NE and NK were instructed to rate the transplanted prosodic components. Results showed that the interactions between the two rater groups with the three factors (e.g., transplantation types & rater groups, sentence types & rater groups, sentence length & rater groups) turned out to be meaningful. Both rater groups preferred the combined effect of transplanted prosodic components (e.g. DP, DPI) to that of individual transplantation (e.g. I, D, P). Compared to NK, NE were more sensitive to duration change than pitch change whereas NK showed equal preference to the both. In sentence types such as De, Ex, Im, and Ta, NE perceived higher similarity than NK.

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A Query-by-Speech Scheme for Photo Albuming (음성 질의 기반 디지털 사진 검색 기법)

  • Kim Tae-Sung;Suh Young-Joo;Lee Yong-Ju;Kim Hoi-Rin
    • MALSORI
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    • no.57
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    • pp.99-112
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    • 2006
  • In this paper, we introduce two retrieval methods for photos with speech documents. We compare the pattern of speech query with those of speech documents recorded in digital cameras, and measure the similarities, and retrieve photos corresponding to the speech documents which have high similarity scores. As the first approach, a phoneme recognition scheme is used as the pre-processor for the pattern matching, and in the second one, the vector quantization (VQ) and the dynamic time warping (DTW) are applied to match the speech query with the documents in signal domain itself. Experimental results show that the performance of the first approach is highly dependent on that of phoneme recognition while the processing time is short. The second method provides a great improvement of performance. While the processing time is longer than that of the first method due to DTW, but we can reduce it by taking approximated methods.

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Automatic Prediction of 'Anti-Search Variants' of Twitter based on Word Embeddings and Phonetic Similarity (단어 임베딩과 음성적 유사도를 이용한 트위터 '서치 방지 단어'의 자동 예측)

  • Lee, Sangah
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.190-193
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    • 2017
  • '서치 방지 단어'는 SNS 상에서 사용자들이 작성한 문서의 검색 및 수집을 피하기 위하여 사용하는 변이형을 뜻한다. 하나의 검색 키워드가 있다면 그와 같은 대상을 나타내는 변이형이 여러 형태로 존재할 수 있으며, 이들 변이형에 대한 검색 결과를 함께 수집할 수 있다면 데이터 확보가 중요하게 작용하는 다양한 연구에 큰 도움이 될 것이다. 본 연구에서는 특정 단어가 주어진 키워드로부터 의미 벡터 상의 거리가 가까울수록, 그리고 주어진 키워드와 비슷한 음성적 형태 즉 발음을 가질수록, 해당 키워드의 변이형일 가능성이 높을 것이라고 가정하였다. 이에 따라 단어 임베딩을 이용한 의미 유사도와 최소 편집 거리를 응용한 음성적 유사도를 이용하여 주어진 검색 키워드와 유사한 변이형들을 제안하고자 하였다. 그 결과 구성된 변이형 후보의 목록에는 다양한 형태의 단어들이 포함되었으며, 이들 중 다수가 실제 SNS 상에서 같은 의미로 사용되고 있음이 확인되었다.

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The neighborhood size and frequency effect in Korean words (한국어 단어재인에서 나타나는 이웃효과)

  • Kwon You-An;Cho Hye-Suk;Nam Ki-Chun
    • Proceedings of the KSPS conference
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    • 2006.05a
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    • pp.117-120
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    • 2006
  • This paper examined two hypotheses. Firstly, if the first syllable of word play an important role in visual word recognition, it may be the unit of word neighbor. Secondly, if the first syllable is the unit of lexical access, the neighborhood size effect and the neighborhood frequency effect would appear in a lexical decision task and a form primed lexical decision task. We conducted two experiments. Experiment 1 showed that words had large neighbors made a inhibitory effect in the LDT(lexical decision task). Experiment 2 showed the interaction between the neighborhood frequency effectand the word form similarity in the form primed LDT. We concluded that the first syllable in Korean words might be the unit of word neighborhood and play a central role in a lexical access.

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Phonation types of Korean fricatives and affricates

  • Lee, Goun
    • Phonetics and Speech Sciences
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    • v.9 no.4
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    • pp.51-57
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    • 2017
  • The current study compared the acoustic features of the two phonation types for Korean fricatives (plain: /s/, fortis : /s'/) and the three types for affricates (aspirated : /$ts^h$/, lenis : /ts/, and fortis : /ts'/) in order to determine the phonetic status of the plain fricative /s/. Considering the different manners of articulation between fricatives and affricates, we examined four acoustic parameters (rise time, intensity, fundamental frequency, and Cepstral Peak Prominence (CPP) values) of the 20 Korean native speakers' productions. The results showed that unlike Korean affricates, F0 cannot distinguish two fricatives, and voice quality (CPP values) only distinguishes phonation types of Korean fricatives and affricates by grouping non-fortis sibilants together. Therefore, based on the similarity found in /$ts^h$/ and /ts/ and the idiosyncratic pattern found in /s/, this research concludes that non-fortis fricative /s/ cannot be categorized as belonging to either phonation type.

A Speech Perception-Based Study of the Patterning of Sonorants in Consonant Clusters

  • Seo, Mi-Sun
    • Speech Sciences
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    • v.11 no.4
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    • pp.233-247
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    • 2004
  • This study explores sound alternations in a consonant cluster in which at least one consonant is a sonorant (a son/C cluster, hereafter). In this study, I argue that phonological processes affecting son/C clusters result from low perceptual salience rather than from the Syllable Contact Law as discussed in Vennemann (1988), Clements (1990), Rice & Avery (1991), Baertsch & Davis (2000), among others. That is, as a main factor motivating the alternations in the cluster, I consider contrasts of weak perceptibility triggered by phonetic similarity between two members of a cluster (Kawasaki 1982, Ohala 1992, 1993). Based on the findings from a typological survey in 31 different languages, I show that a speech perception-based account makes a correct prediction regarding the patterning of sonorant/sonorant sequences and that of obstruent/sonorant sequences, while the syllable contact account does not.

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Language Model Adaptation for Conversational Speech Recognition (대화체 연속음성 인식을 위한 언어모델 적응)

  • Park Young-Hee;Chung Minhwa
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.83-86
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    • 2003
  • This paper presents our style-based language model adaptation for Korean conversational speech recognition. Korean conversational speech is observed various characteristics of content and style such as filled pauses, word omission, and contraction as compared with the written text corpora. For style-based language model adaptation, we report two approaches. Our approaches focus on improving the estimation of domain-dependent n-gram models by relevance weighting out-of-domain text data, where style is represented by n-gram based tf*idf similarity. In addition to relevance weighting, we use disfluencies as predictor to the neighboring words. The best result reduces 6.5% word error rate absolutely and shows that n-gram based relevance weighting reflects style difference greatly and disfluencies are good predictor.

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