• 정보관리연구
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• 제26권2호
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• pp.61-79
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• 1995

정보검색의 성공여부는 적절한 검색어의 선정에 달려있다고 해도 과언이 아니다. 특히 CD-ROM이나 온라인목록시스템에서 주제검색시 분류표, 주제명과 같은 통제어와 자연어 등 비통제어의 비교 우위 문제는 아직도 논란이 되고 있다. 본고는 두 시스템의 검색효율성을 비교하기 위하여 특히 다언어 환경하에서의 검색어 사용에 중점을 두고 다양한 형태의 검색어휘를 조사 분석하였다.

• 아시아태평양코퍼스연구
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• 제2권1호
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• pp.1-11
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• 2021

Recently, corpus assisted vocabulary instruction has been attracting a lot of interest. Most studies have focused on understanding language learners' receptive vocabulary knowledge. Limited attention has been paid to learners' productive competence. To fill this gap, this study attended to learners' productive lexical development in terms of form, meaning and use respectively. This study introduced EFL learners to the corpus-based language pedagogy to learn COVID-19 theme-based vocabulary. To investigate the gains and views of 33 EFL first-year college students, a sentence completion task and a questionnaire were developed. Learners' productive performances in the three lexical knowledge aspects (i.e., form, meaning and use) were particularly targeted. The results revealed that the students achieved significant gains in all aspects regardless of their proficiency level. In particular, the less proficient students achieved greater knowledge retention compared with their highly proficient counterparts. Meanwhile, students showed positive attitudes towards the corpus-based approach to vocabulary learning.

• 아시아태평양코퍼스연구
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• 제2권2호
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• pp.31-41
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• 2021

This paper makes a quantitative analysis of the diachronic evolution of ancient Chinese vocabulary by constructing and counting a large-scale rough annotated corpus. The texts from Si Ku Quan Shu (a collection of Chinese ancient books) are automatically segmented to obtain ancient Chinese vocabulary with time information, which is used to the statistics on word frequency, standardized type/token ratio and proportion of monosyllabic words and dissyllabic words. Through data analysis, this study has the following four findings. Firstly, the high-frequency words in ancient Chinese are stable to a certain extent. Secondly, there is no obvious dissyllabic trend in ancient Chinese vocabulary. Moreover, the Northern and Southern Dynasties (420-589 AD) and Yuan Dynasty (1271-1368 AD) are probably the two periods with the most abundant vocabulary in ancient Chinese. Finally, the unique words with high frequency in each dynasty are mainly official titles with real power. These findings break away from qualitative methods used in traditional researches on Chinese language history and instead uses quantitative methods to draw macroscopic conclusions from large-scale corpus.

• Human Ecology Research
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• 제53권2호
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• pp.219-228
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• 2015

This study evaluated the content of Korean vocabulary learning applications with a focus on tablet PC applications. We analyzed 51 Korean vocabulary learning applications. The instruments in this study were developed based on Yoo et al. (2012)' Vocabulary Learning Game Application Evaluation Criteria and Hyun et al. (2013)' Educational Application Evaluation Criteria. Data were analyzed using a t-test and one-way analysis of variance. The main results are as follows. First, each criteria's score was fairly good; the ease of use had the highest scores and the amusement had the lowest scores. Second, there was a significant difference in the interaction by vocabulary teaching approach. Applications based on a whole language-teaching method had higher scores than applications based on a phonics instructional teaching method inducing more operation and with immediate feedback. Third, there was significant difference in the sum of score and each criteria of developmental appropriateness, educational values, amusement, function and interaction by type of learning. Applications of combining type had higher scores in every criteria except for ease of use than applications of description type. These findings provide a preliminary evidence that the systematic Korean vocabulary learning application facilitates preschoolers' vocabulary learning.

• 아동학회지
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• 제28권5호
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• pp.109-126
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• 2007

A sample of 322 18-month-old infants and their mothers were assessed longitudinally at 24 and 30 months. Maternal utterances and styles of linguistic interaction were measured during a 10 minute free play session. Mothers completed a vocabulary checklist for infants. Longitudinal data were analyzed by multilevel modeling. Results indicated that vocabulary increased with age of infants and the growth rate was highly predictable by the size of vocabulary at 18 months. The growth rate was strongly influenced by maternal questioning and feedback. The effect of the maternal linguistic input was constant with age. Gender differences in size of vocabulary did not vary systematically with age.

• 아동학회지
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• 제27권6호
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• pp.263-276
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• 2006

This study examined the relationship between children's temperament and their early vocabulary acquisition. Mothers of 317 toddlers (18 months of age) completed the Toddler Temperament Scale(Bak, 1996) and a vocabulary checklist(Pae, 2002). Results showed that mood, adaptability, and activity were associated with vocabulary acquisition. Specifically, infants rated as having a positive mood and low activity level acquired more expressive words. On the other hands, infants rated as easily adaptive and low activity level acquired more receptive words. These results suggest that different components of temperament may influence the way in which toddlers acquire vocabulary.

• 아동학회지
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• 제25권2호
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• pp.19-39
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• 2004

Mothers of 58 20-month-olds in Seoul, the Republic of Korea, completed vocabulary checklists for their children. When vocabulary level was taken into account, children's vocabularies contained relatively greater proportions of nouns than other word classes, and more verbs than adjectives or closed-class words. Correlations among word classes showed that each word class was consistently positively correlated with every other class. Girls' vocabularies showed evidence of being larger than boys. Large individual differences in the sizes of children's vocabularies were found. Factors that influence vocabulary size and can account for gender and individual differences are discussed. Noun prevalence in the vocabularies of children learning to speak Korean, and the merits of several theories that may account for this word-class prevalence pattern, are evaluated.

• 한국자연치유학회지
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• 제10권1호
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• pp.48-55
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• 2021

목적: 지적장애인은 수용어휘와 표현어휘의 사용에 취약하다. 본 연구의 목적은 시설거주 성인 지적장애인에게 그림동화를 활용하여 읽기 교육을 지도한 후에 수용어휘와 표현어휘에 미치는 영향을 조사하는 것이었다. 방법: 연구대상은 거주시설에서 거주하는 20~40세미만의성인지적장애인 12명이다. 이들은 중재집단 6명과통제집단 6명으로나누어서 매회기 당 60분씩 총 12회기로 그림동화를 활용한 읽기 지도를 중재하였다. 결과: 그림동화를 활용한 읽기 활동을 시행한 중재집단에서는 수용어휘의 사용이 유의하게 향상되었고, 표현어휘의 활용도 유의하게 향상되었다. 통제집단에서는 모두 유의한 결과가 나타나지 아니했다. 결론: 본 연구는 장애인을 대상으로 그림동화를 활용한 읽기를 지도한 후에는 수용어휘와 표현어휘의 활용이 향상되는 효과가 있었다. 이 결과는 이 분야의 연구에 기초가 되리라 평가한다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2006년도 춘계 학술대회 발표논문집
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• pp.89-93
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• 2006

This paper presents ETRI broadcast news speech recognition system. There are two major issues on the broadcast news speech recognition: 1) real-time processing and 2) out-of-vocabulary handling. For real-time processing, we devised the dual decoder architecture. The input speech signal is segmented based on the long-pause between utterances, and each decoder processes the speech segment alternatively. One decoder can start to recognize the current speech segment without waiting for the other decoder to recognize the previous speech segment completely. Thus, the processing delay is not accumulated. For out-of-vocabulary handling, we updated both the vocabulary and the language model, based on the recent news articles on the internet. By updating the language model as well as the vocabulary, we can improve the performance up to 17.2% ERR.

• 대한음성학회지:말소리
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• 제68권
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• pp.115-126
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• 2008

In this paper, we propose a vocabulary coverage improvement method for embedded continuous speech recognition (CSR) using knowledgebase. A vocabulary in CSR is normally derived from a word frequency list. Therefore, the vocabulary coverage is dependent on a corpus. In the previous research, we presented an improved way of vocabulary generation using part-of-speech (POS) tagged corpus. We analyzed all words paired with 101 among 152 POS tags and decided on a set of words which have to be included in vocabularies of any size. However, for the other 51 POS tags (e.g. nouns, verbs), the vocabulary inclusion of words paired with such POS tags are still based on word frequency counted on a corpus. In this paper, we propose a corpus independent word inclusion method for noun-, verb-, and named entity(NE)-related POS tags using knowledgebase. For noun-related POS tags, we generate synonym groups and analyze their relative importance using Google search. Then, we categorize verbs by lemma and analyze relative importance of each lemma from a pre-analyzed statistic for verbs. We determine the inclusion order of NEs through Google search. The proposed method shows better coverage for the test short message service (SMS) text corpus.