• Title/Summary/Keyword: 화자표현

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Types and Functions of English Hedges at a syntax-pragmatics Interface (통사화용의 접합면에서 본 영어 헤지표현의 유형과 기능)

  • Hong, Sungshim
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.381-388
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    • 2020
  • This paper discusses English Hedges or Hedging Expressions on the basis of their morphosyntactic-pragramatic properties within the perspective of sociolinguistics. The term, 'Hedges' for the past decades since Lakoff(1973), has received little attention from the English grammar circles such as morphosyntax and the generative grammar theories. This paper presents a more comprehensive approach to the identification, distributions, functions, and the morphosyntactic properties of English Hedges. The earlier research on English Hedges in the 70's show that hedges are metalinguistic or mitadiscourse expressions which constitute a means for executing Politeness strategy in pragmatics. Nonetheless, research from the interface of syntactic-pragmatics has been scarce. This article suggests a more complex body of English hedges that have not been extensively discussed in the literature. Additionally, their configurational domain is to be proposed as part of the PolP with [±hedged] above CP+ (or CP beyond). The ramifications of the current study are suggested in terms of comparative linguistics, EFL/ESL studies of English for global communication, and pragmatics-sensitive machine translation studies in the forseeable future.

Formant-broadened CMS Using the Log-spectrum Transformed from the Cepstrum (켑스트럼으로부터 변환된 로그 스펙트럼을 이용한 포먼트 평활화 켑스트럴 평균 차감법)

  • 김유진;정혜경;정재호
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.4
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    • pp.361-373
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    • 2002
  • In this paper, we propose a channel normalization method to improve the performance of CMS (cepstral mean subtraction) which is widely adopted to normalize a channel variation for speech and speaker recognition. CMS which estimates the channel effects by averaging long-term cepstrum has a weak point that the estimated channel is biased by the formants of voiced speech which include a useful speech information. The proposed Formant-broadened Cepstral Mean Subtraction (FBCMS) is based on the facts that the formants can be found easily in log spectrum which is transformed from the cepstrum by fourier transform and the formants correspond to the dominant poles of all-pole model which is usually modeled vocal tract. The FBCMS evaluates only poles to be broadened from the log spectrum without polynomial factorization and makes a formant-broadened cepstrum by broadening the bandwidths of formant poles. We can estimate the channel cepstrum effectively by averaging formant-broadened cepstral coefficients. We performed the experiments to compare FBCMS with CMS, PFCMS using 4 simulated telephone channels. In the experiment of channel estimation, we evaluated the distance cepstrum of real channel from the cepstrum of estimated channel and found that we were able to get the mean cepstrum closer to the channel cepstrum due to an softening the bias of mean cepstrum to speech. In the experiment of text-independent speaker identification, we showed the result that the proposed method was superior than the conventional CMS and comparable to the pole-filtered CMS. Consequently, we showed the proposed method was efficiently able to normalize the channel variation based on the conventional CMS.

Way to the Method of Teaching Korean Speculative Expression Using Visual Thinking : Focusing on '-(으)ㄹ 것 같다', '-나 보다' (비주얼 씽킹을 활용한 한국어 추측 표현 교육 방안 : '-(으)ㄹ 것 같다', '-나 보다'를 대상으로)

  • Lee, Eun-Kyoung;Bak, Jong-Ho
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.5
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    • pp.141-151
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    • 2021
  • This study analyzed the meaning and functions of '-(으)ㄹ 것 같다' and '-나 보다' among the various semantic functions depending on the situation, and discussed ways to train speculative expressions more efficiently by expanding them from traditional teaching methods through visualizations applied visual thinking at real Korean language education. The speculative representation, which is the subject of this study, represents the speaker's speculation about something or situation, with slight differences in meaning depending on the basis of the speculation and the subject of the speculation. We propose a training method that can enhance the diversification and efficiency of teaching-learning through visualization of information or knowledge, speculative representations that exhibit fine semantic differences in various situations. Utilizing visual thinking in language education can simplify and provide language information through visualization of language knowledge, and learners can be efficient at organizing and organizing language knowledge. It also has the advantage of long-term memory of language information through visualization of language knowledge. Attempts of various educational methods that can be applied at the Korean language education site can contribute to establishing a more systematic and efficient education method, which is meaningful in that the visual thinking proposed in this study can give interest and efficiency to international students.

Improvement of Character-net via Detection of Conversation Participant (대화 참여자 결정을 통한 Character-net의 개선)

  • Kim, Won-Taek;Park, Seung-Bo;Jo, Geun-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.10
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    • pp.241-249
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    • 2009
  • Recently, a number of researches related to video annotation and representation have been proposed to analyze video for searching and abstraction. In this paper, we have presented a method to provide the picture elements of conversational participants in video and the enhanced representation of the characters using those elements, collectively called Character-net. Because conversational participants are decided as characters detected in a script holding time, the previous Character-net suffers serious limitation that some listeners could not be detected as the participants. The participants who complete the story in video are very important factor to understand the context of the conversation. The picture elements for detecting the conversational participants consist of six elements as follows: subtitle, scene, the order of appearance, characters' eyes, patterns, and lip motion. In this paper, we present how to use those elements for detecting conversational participants and how to improve the representation of the Character-net. We can detect the conversational participants accurately when the proposed elements combine together and satisfy the special conditions. The experimental evaluation shows that the proposed method brings significant advantages in terms of both improving the detection of the conversational participants and enhancing the representation of Character-net.

The Study on Body Language in Animation as Functional Aspects -Focusing on Mulan, Beauty and the beast, Aladdin, Sinbad- (기능론적 관점에서 본 애니메이션의 신체언어 연구 - 뮬란, 미녀와 야수, 알라딘, 신밧드를 중심으로-)

  • Chung, Mi-Ghang;Lee, Mi-Young;Kim, Sung-Hee;Kim, Jae-Ho
    • Archives of design research
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    • v.20 no.1 s.69
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    • pp.55-64
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    • 2007
  • Non-verbal communications are important because they support and replace verbal communication. Body language of various non-verbal communications is the communication using the body. In animation, expression of body language is very important because characters play an important role in communicating the scenario. Animation has a dual communication structure, different from general communication. One is the communication between the speaker character and the hearer character, the other is the image and the audience, which includes the communication between the speaker character and the hearer character. In this study, we divide the body language from the characters into the discourse-in act and discourse-out act according to this dual structure and classify it into adaptors, emblem, illustrator, regulator, affect display by a functional approach method. Especially, the illustrator is subdivided into pragmatic speech act. Finally, this study analyzes the features of body language in animation and represents animation character's body language for an effective expression of the communications in animation.

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An Autonomous Modular Account of Double Accusatives (이중대격에 대한 자율모듈적 분석)

  • Kim, Kyunghwan
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.74-82
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    • 2022
  • The purpose of this paper is to provide a multi-modular account of double accusative constructions in Korean in the framework of Autolexical Grammar. The grammar views syntactic, semantic, and morphological structures of sentences as modules which are generated simultaneously and independently. Unlike syntactocentric theories, this paper analyzes semantic characteristics of double accusatives through function-argument (F/A) structure along with roles structure (RS) and information structure (IS). In F/A structure of double accusatives, the first accusative becomes an argument of a predicate, unlike the possessive, which is an argument of a relational noun. Furthermore, the first accusative of double accusatives takes the role of patient in RS, which allows it to become the subject of a passive sentence. On the other hand, the second accusative, which is originally the possessee, becomes a focal area in IS. Therefore, the purpose of double accusatives is twofold: one is to turn the possessor into an independent argument of a predicate which takes patient role, and the other is to turn the possessee into a focus. Such semantic characteristics of double accusatives can be expressed by means of multi-dimensional structures of F/A structure, RS, and IS of Autolexical Grammar, which allows an integrated account of the phenomenon.

Comparison of Classification Performance Between Adult and Elderly Using Acoustic and Linguistic Features from Spontaneous Speech (자유대화의 음향적 특징 및 언어적 특징 기반의 성인과 노인 분류 성능 비교)

  • SeungHoon Han;Byung Ok Kang;Sunghee Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.8
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    • pp.365-370
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    • 2023
  • This paper aims to compare the performance of speech data classification into two groups, adult and elderly, based on the acoustic and linguistic characteristics that change due to aging, such as changes in respiratory patterns, phonation, pitch, frequency, and language expression ability. For acoustic features we used attributes related to the frequency, amplitude, and spectrum of speech voices. As for linguistic features, we extracted hidden state vector representations containing contextual information from the transcription of speech utterances using KoBERT, a Korean pre-trained language model that has shown excellent performance in natural language processing tasks. The classification performance of each model trained based on acoustic and linguistic features was evaluated, and the F1 scores of each model for the two classes, adult and elderly, were examined after address the class imbalance problem by down-sampling. The experimental results showed that using linguistic features provided better performance for classifying adult and elderly than using acoustic features, and even when the class proportions were equal, the classification performance for adult was higher than that for elderly.

Speaker classification and prediction with language model (언어모델을 활용한 문서 내 발화자 예측 분류 모델)

  • Kim, Gyeongmin;Han, Seunggyu;Seo, Jaehyung;Lee, Chanhee;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.317-320
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    • 2020
  • 연설문은 구어체와 문어체 두 가지 특성을 모두 갖고 있는 복합적인 데이터 형태이다. 발화자의 문장 표현, 배열, 그리고 결합에 따라 그 구조가 다르기 때문에, 화자 별 갖는 문체적 특성 또한 모두 다르다. 국정을 다루는 정치인들의 연설문은 국정 현황을 포함한 다양한 주요 문제점을 다룬다. 그러면 발화자의 문서 내 문체적 특성을 고려할 경우, 해당 문서가 어느 정치인의 연설문인지 파악 할 수 있는가? 본 연구에서는 대한민국 정책 브리핑 사이트로부터 한국어 기반 사전 학습된 언어 모델을 활용하여 연설문에 대한 미세조정을 진행함으로써 발화자 예측 분류 모델을 생성하고, 그 가능성을 입증하고자 한다. 본 연구는 5-cross validation으로 모델 성능을 평가하였고 KoBERT, KoGPT2 모델에서 각각 90.22%, 84.41% 정확도를 보였다.

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The Characteristics and Significance of 'Nim' Texts in the Late Chason Period: Focused on Saseol-sijo and Chap-ga (조선후기 '님' 담론의 특성과 그 의미 : 사설시조와 잡가를 중심으로)

  • Shin Eun-Kyung
    • Sijohaknonchong
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    • v.20
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    • pp.113-139
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    • 2004
  • This article intends to illuminate how the men. leading agents in Saseol-sijo - musical performers. writers of lyrics, patrons. composers. compilers of Sijo anthologies, audience. etc. - In the Late Choson period, viewed or recognized women and how their understanding of women was reflected in the texts. Working with texts with the theme of 'Love,' this article starts with categorizing two types of love: the first type, 'lovelorn heart' focusing on unilateral pining for a single lover who is absent now and the second type. 'physical love' concentrating on bilateral sexual intercourse. In addition to the types of love, the gender of poetic speakers, distinct from real poets is vital to characterize the discourse of love. According to these two factors. texts in question fall into four groups: texts that a female speaker displays her lovelorn heart('Type 1'), those where she speaks about her sexual experiences('Type 2'), those where a male speaker sings his lovelorn heart('Type 3'), and those where he describes his sexual experiences('Type 4'). Of these. 'Type 2' and 'Type 3' are key to understanding of the men's view of women. With respect to the configuration of the theme of 'Love,' it should be noted that in Korean literary history, the nim or a 'sweetheart' had signified the totality of value or a perfect entity which makes one's life meaningful and that 'Type 1,' the pattern that a female subject expresses her love toward male min, had constituted a traditional way to convey the theme of 'Love.' In terms of this connotation of min. a remarkable increase of 'Type 3' implying the increase of male speakers, reveals the extent to which women, the male speakers' min, accomplished their entry into a 'sacred area' -the position of mm-in which only men had occupied; females are focused and centralized. This article considers this phenomenon as an exhibition of the upgrade of women's significance and weight in the Late Choson society and as an index of 'modernity.' Meanwhile, given that most of the Saseol-sijo poets are men, the emergence of the 'Type 2' texts in which male poets have female speakers disclose their sexual experiences, demonstrates a representative example that women are degraded to be a means of men's pleasure; for this situation gives men more pleasure than when male speakers reveal their sexual experiences. Not only 'Type 2,' but texts group which basically belongs to 'Type I' and conveys the theme of 'Loyalty' through the female voice by substituting rulers-subjects relation for men-women relation, also falls under the same case. For men employ female voice as a poetic device in order to stress the theme of 'Loyalty' This article regards this phenomenon as an index of 'pre-modernity,' in the sense that in a pre-modem society, specifically in Early Choson, male-oriented value system dominates, thereby alienating women. As it is well known, the Late Choson is marked by a transitional period from a pre-modem society to a modem society. Therefore the ambivalence of the premodern and the modem can be found mixed in every segment of the society. The dual aspects of the masculine view of women in Saseol-sijo constitutes one example. The significance of the Saseol-sijo in Korean literary history can be found in this phenomenon.

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A Statistical Prediction Model of Speakers' Intentions in a Goal-Oriented Dialogue (목적지향 대화에서 화자 의도의 통계적 예측 모델)

  • Kim, Dong-Hyun;Kim, Hark-Soo;Seo, Jung-Yun
    • Journal of KIISE:Software and Applications
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    • v.35 no.9
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    • pp.554-561
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    • 2008
  • Prediction technique of user's intention can be used as a post-processing method for reducing the search space of an automatic speech recognizer. Prediction technique of system's intention can be used as a pre-processing method for generating a flexible sentence. To satisfy these practical needs, we propose a statistical model to predict speakers' intentions that are generalized into pairs of a speech act and a concept sequence. Contrary to the previous model using simple n-gram statistic of speech acts, the proposed model represents a dialogue history of a current utterance to a feature set with various linguistic levels (i.e. n-grams of speech act and a concept sequence pairs, clue words, and state information of a domain frame). Then, the proposed model predicts the intention of the next utterance by using the feature set as inputs of CRFs (Conditional Random Fields). In the experiment in a schedule management domain, The proposed model showed the precision of 76.25% on prediction of user's speech act and the precision of 64.21% on prediction of user's concept sequence. The proposed model also showed the precision of 88.11% on prediction of system's speech act and the Precision of 87.19% on prediction of system's concept sequence. In addition, the proposed model showed 29.32% higher average precision than the previous model.