• Title/Summary/Keyword: Lexical Cohesion

Search Result 6, Processing Time 0.022 seconds

The Characteristics of Cohesion in the Narratives of Fluent Aphasics (유창성 실어증 환자의 이야기 결속표지 사용 특성)

  • Yoon, Ji-Yeon;Lee, Yoon-Kyoung
    • Speech Sciences
    • /
    • v.12 no.4
    • /
    • pp.237-245
    • /
    • 2005
  • The purpose of this study was to investigate the characteristics for cohesion in the narratives of fluent aphasics. Ten fluent aphasics and ten normal adults matched chronological-age and education level with aphasics participated in this study. Story retelling task was given to the participants individually. And all narratives they produced were recorded and transcribed for analysis. The frequency of cohesive markers and the rate of accuracy were analyzed. The result were as follows; (1) The fluent aphasics used cohesive devices significantly less than the normal adult group, and the rate of accuracy of cohesive devices used was lower than the normal adults. (2) Both groups used lexical cohesion more than pro-forms and ellipsis, and the difference of two groups was larger in lexical cohesion than pro-forms and ellipsis. (3) The fluent aphasics used lexical cohesion more accurately than pro-forms and ellipsis but the normal adults used all three cohesive markers accurately. The difference of two groups was large in pro-forms and ellipsis.

  • PDF

An English Essay Scoring System Based on Grammaticality and Lexical Cohesion (문법성과 어휘 응집성 기반의 영어 작문 평가 시스템)

  • Kim, Dong-Sung;Kim, Sang-Chul;Chae, Hee-Rahk
    • Korean Journal of Cognitive Science
    • /
    • v.19 no.3
    • /
    • pp.223-255
    • /
    • 2008
  • In this paper, we introduce an automatic system of scoring English essays. The system is comprised of three main components: a spelling checker, a grammar checker and a lexical cohesion checker. We have used such resources as WordNet, Link Grammar/parser and Roget's thesaurus for these components. The usefulness of an automatic scoring system depends on its reliability. To measure reliability, we compared the results of automatic scoring with those of manual scoring, on the basis of the Kappa statistics and the Multi-facet Rasch Model. The statistical data obtained from the comparison showed that the scoring system is as reliable as professional human graders. This system deals with textual units rather than sentential units and checks not only formal properties of a text but also its contents.

  • PDF

Automatic Summarization based on Lexical Chains considering Word Assocication (단어간의 연관성을 고려한 어휘 체인 기반 자동 요약)

  • Song, Young-In;Han, Kyoung-Soo;Rim, Hae-Chang
    • Annual Conference on Human and Language Technology
    • /
    • 2002.10e
    • /
    • pp.300-305
    • /
    • 2002
  • 자동 문서 요약 분야에서 대상 문서를 컴퓨터가 이해할 수 있는 형태로 어떻게 파악하고 구조화할 것인가는 중요한 이슈가 되어 왔다. 문서에 출현한 단어들은 Bag of Words 가정처럼 서로 독립적으로 존재하는 것이 아니라 문서가 쓰여진 의도에 따라 서로 간의 의미적, 혹은 지시적으로 연관되어 있다. 이러한 단어간의 연관성은 결속성(cohesion)이라고 표현하며, 이를 이용한 자동 방법으로 Barzilay의 어휘 체인(lexical chain)을 사용한 자동 방법이 대표적이다. 본 연구에서는 단어간의 연관성과 영문 시소러스인 워드넷(wordnet)에서 단어의 위치 정보를 사용하여 어휘 체인의 성능을 개선하였고, 대상 문서의 개념을 어휘 체인에 기반해 표현하여 자동의 성능을 개선하는 방안을 제시한다.

  • PDF

Semantic Clustering of Predicates using Word Definition in Dictionary (사전 뜻풀이를 이용한 용언 의미 군집화)

  • Bae, Young-Jun;Choe, Ho-Seop;Song, Yoo-Hwa;Ock, Cheol-Young
    • Korean Journal of Cognitive Science
    • /
    • v.22 no.3
    • /
    • pp.271-298
    • /
    • 2011
  • The lexical semantic system should be built to grasp lexical semantic information more clearly. In this paper, we studied a semantic clustering of predicates that is one of the steps in building the lexical semantic system. Unlike previous studies that used argument of subcategorization(subject and object), selectional restrictions and interaction information of adverb, we used sense tagged definition in dictionary for the semantic clustering of predicate, and also attempted hierarchical clustering of predicate using the relationship between the generic concept and the specific concept. Most of the predicates in the dictionary were used for clustering. Total of 106,501 predicates(85,754 verbs, 20,747 adjectives) were used for the test. We got results of clustering which is 2,748 clusters of predicate and 130 recursive definition clusters and 261 sub-clusters. The maximum depth of cluster was 16 depth. We compared results of clustering with the Sejong semantic classes for evaluation. The results showed 70.14% of the cohesion.

  • PDF

Analysis of Readability of Text in English for Radiation Therapy for Foreigner Patient with Cancer in South Korea (외국인 암 환자를 위한 국내 방사선치료 영문 텍스트 가독성 분석)

  • Dae-Gun, Kim;Sungchul, Kim
    • Journal of radiological science and technology
    • /
    • v.45 no.6
    • /
    • pp.543-552
    • /
    • 2022
  • This study compared and analyzed with the United States(USA) to evaluated the level of readability of radiotherapy information (English text) provide to foreign patients with cancer by medical institutions in South Korea (KOR). A total of 20 the KOR and USA medical hospitals in 10 each provide information for radiation therapy technology were selected. The readability was comparatively analyzed a total of three aspects (lexical, syntactic, cohesion and readability) by using a Coh-Metrix on-line web program. In readability respect, the mean of the Flesch Reading Ease (FRE) was lower in the KOR (8.3) than in the USA (23.2), Flesch-Kincaid grade level (FKGL) was higher in the KOR than in the USA (14.2) indicating that KOR was less readable than the US (p<.05). In both KOR and USA, the reading level (literacy) of the English text for the radiation therapy was found to be higher than high school (FRE level 50 or lower). Therefore, text information in English for the radiation therapy to foreign patients with cancer should be lowered to elementary school level and read to improve the quality of medical services.

Recent Research Trends in Dementia Discourse : Tasks, Transcription and Measures (치매환자 담화분석의 최근 연구동향 : 과제, 전사 및 측정요인)

  • Kim, Bo Seon;Kim, HyangHee
    • The Journal of the Korea Contents Association
    • /
    • v.15 no.9
    • /
    • pp.351-363
    • /
    • 2015
  • Discourse analysis is useful for examining discourse characteristics of dementia patients and differentiating them from normal adults. However, inconsistent tasks, transcription methods and measures have been utilized, thus analyses were inevitably unsystematic. The purpose of this study was to investigate tasks, transcription methods and measures of discourse studies in dementia. Studies on dementia discourses written in English were collected via Scopus database containing abstracts and citations from 2005 to 2014, and were analyzed in detail. From the results, the most frequently used task was 'storytelling-topic'. It was observed that use of consistent transcription conventions rendered more reliable transcription data. Measures could be categorized into coherence, cohesion, productivity, propositional syntactic lexical analysis, and fluency, and each category belonged to discourse processing levels (i.e., processing of conceptual networks, propositions, and natural language units). In conclusion, future research warrants not only utilization of discourse tasks depending on dementia types and features, but also application of consistent transcription conventions. Additionally, measures based on the discourse processing theory would enable us to systematically interpret discourse studies.