• Title/Summary/Keyword: syntactic diversity

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Effect of Using QuillBot on the Writing Quality of EFL College Students

  • Hye Kyung Kim
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.42-47
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    • 2023
  • The majority of research on Automated Writing Evaluation (AWE) programs has focused primarily on Grammarly, whereas QuillBot and its use in English as a Foreign Language (EFL) classrooms remains limitedly explored. This study examined the effectiveness of using QuillBot on the writing quality of college students. A total of 26 participants took pre- and post-writing tests, and four analytical tools were applied to assess their writing quality in terms of syntactic complexity, lexical diversity, lexical richness, and readability. Results of the syntactic complexity analysis across the four indices demonstrates that the syntactic complexity of EFL writing increased significantly, and substantial differences were observed in lexical richness and readability. These results suggest that QuillBot can compensate for the drawbacks of Grammarly and assist EFL writers in improving their overall writing quality.

A Method Of Compound Noun Phrase Indexing for Resolving Syntactic Diversity (구문 다양성 해소를 위한 복합명사구 색인 방법)

  • Cho, Min-Hee;Jeong, Do-Heon
    • The Journal of the Korea Contents Association
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    • v.11 no.3
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    • pp.467-476
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    • 2011
  • Compound noun phrase (CNP) is important factor for semantic information process because the meaning of the CNP is more disambiguous than that of single word. However, the CNP can be expressed in various types even though it expresses same meaning. It is called syntactic diversity. It makes information system difficult to grasp sense identity. In order to resolve the syntactic diversity in this research, we propose an indexing method for compound noun phrase. The main purpose is to make identical index term for various types of CNPs which has same meaning. To do so, the research follows next steps. For the first, we make rule template and utilize the template to extract CNPs from set of domestic research papers. In general, the CNP has a unique meaning. Considering the characteristic, we suggest synthesis rules of index terms and apply the rule to CNPs extracted in previous step. For the objective performance evaluation of the research, a test set, HANTEC 2.0, was utilized and the result was compared to baseline model. Through the experiment and the evaluation, we have confirmed that the indexing method suggested in this paper could positively affect retrieval precision and improve performance of the information retrieval.

Verification of the Usefulness of the Mock TOEIC Test using Corpus Indices : Focusing on the Analysis of Difficulty and Discrimination (코퍼스 지표를 활용한 모의 토익시험의 유용성 검증 : 난이도와 변별도 분석을 중심으로)

  • Lee, Yena
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.576-593
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    • 2021
  • In this study, in order to investigate the factors that affect the percentage of correct answers and the degree of discrimination of the TOEIC test, a regression analysis was performed using corpus indicators that influence correct answer rate and the degree of discrimination for each part derived from the item analysis. The basic calculation word_length, consistency index LSA_overlap_adjacent_sentences, lexical diversity MTLD_VOCD, conjunction All_logical_causal_connectives_incidence, situational model casual_particles_causal_verbs_Ratio, syntactic complexity Left_embeddedness, and syntactic pattern density Infinitive_density were found to have negative effects. These factors that lower the correct answer rate can be utilized when setting learning goals. Vocabulary diversity index MTLD_VOCD, conjunction Additive_connectives_incidence, syntactic pattern density Infinitive_density, and lexical information person1_2_pronoun_incidence were found to have a positive effect. Factors influencing the increase in discrimination may provide important information for developing a learning program.

Stability of Early Language Development of Verbally-Precocious Korean Children from 2 to 3 Year-old (조기언어발달 아동의 초기 언어능력의 안정성)

  • Lee, Kwee-Ock
    • The Korean Journal of Community Living Science
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    • v.19 no.4
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    • pp.673-684
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    • 2008
  • The purpose of this study is to compare the complexity of language level between verbally-precocious and typically-developing children from 2 to 3 years-old. Participants were 15 children classified as verbally-precocious were scored at the mean 56.85(expressive language) and 88.82(receptive language), and another 15 children classified as typically developing did at the mean 33.51(expressive language) and 58.01(receptive language) on MCDI-K. Each child's spontaneous utterances in interaction with her caregiver were collected at three different times with 6 months interval. All of the utterances were transcribed and analyzed for the use of MLU and lexical diversity by using KCLA. Summarizing the overall results, verbally-precocious children had significantly higher language abilities than typically-developing children at each time, and there were significant differences between two groups in syntactic and semantic language development, showing that verbally-precocious children indicated distinctive MLU and lexical diversity. These results suggest a high degree of stability in precocious verbal status, with variations in language complexity during conversations contributing to later differences in their language ability.

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A comparative study of prosodic features according to the syntactic diversities between children with reading disability and nondisabled children (읽기장애아동과 일반아동의 통사적 다양성에 따른 운율 특성 비교)

  • Park, Sungsook;Seong, Cheoljae
    • Phonetics and Speech Sciences
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    • v.13 no.4
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    • pp.55-66
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    • 2021
  • Proper prosody in reading allows the reader to naturally convey the meaning, which manifests as changes in pitch, loudness, and speech rate. Children with reading disability face difficulty in delivering information due to poor prosody. This study identified the difference in prosodic features between children with reading disabilities and nondisabled children through means of reading tasks. Reading tasks, according to sentence types (short sentences, assumptions/conditions, intentions, relative-clause), were recorded by 15 children studying in the 3rd to 6th grade in elementary school. Children with reading disability had a statistically significant wider range of pitch, slower speech rate, more frequent usage of pauses, longer total pause duration, and steeper pitch slope than nondisabled one in sentence-final and -medial words. Children with reading disability, therefore, exhibited a less natural and expressive reading than nondisabled children. Through this study, the characteristics of prosody observed in children with reading disability were identified and the need for an approach for effective intervention was also suggested.

Chatting Pattern Based Game BOT Detection: Do They Talk Like Us?

  • Kang, Ah Reum;Kim, Huy Kang;Woo, Jiyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.11
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    • pp.2866-2879
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    • 2012
  • Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

A Legal & Institutional Supporting on Local Broadcast Development - Syntactic Approach about Special Act on the Development of Local Broadcasting (지역방송발전을 위한 법적·제도적 지원방안 -지역방송 발전지원 특별법의 성과와 한계를 중심으로)

  • Kang, Chul-Soo;Kim, Dug-Mo
    • Journal of Digital Convergence
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    • v.15 no.1
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    • pp.45-52
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    • 2017
  • According to the change in media environment, a support plan for local broadcast has been required. In terms of legal and institutional support for the development of local broadcast, the enactment of special Act for local broadcast has become a breakthrough. In this point of view, we analyzed the performance and the limitation of the special Act. As a literature research, analyzing the literature and related-ordinances, we have sought legal and institutional support plans for the local broadcast. As a result, with the Local Broadcast Development Council being in charge of legislative right and responsibility, a plan to empower them to have legal and institutional authority should be drawn; another plan to secure independence in operating a fund and to promote the capability to produce local broadcast programs and the distribution system should be drawn; the other elaborate plan for the locality index that assesses the locality is required. Local broadcast should be on a way to secure not only public interest and concern but locality and diversity; legal and institutional plans should be sought.

An Investigation into the Equivalence of Three Pictures for Creative Story Writing: 'Dog Owners', 'Lost Dog', and 'Overslept' (창의적 이야기 작문용 세 그림의 동형 조사: 'Dog Owners,' 'Lost Dog,' 'Overslept')

  • Suh, Heejung;Bae, Jungok
    • Journal of Gifted/Talented Education
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    • v.26 no.4
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    • pp.699-719
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    • 2016
  • Alternate pictures that are proven to be equivalent are in high demand to assess creative thinking and language skills. This study aimed to investigate the equivalence of three pictures ('Dog owners,' 'Lost Dog,' and 'Overslept') recently developed for use in a creative writing task. Middle school students (N=183) wrote a story in English based on one of the three prompts distributed randomly. Four writing features (fluency, syntactic complexity, lexical diversity, and temporality) were analyzed with Coh-Metrix and MANCOVA. The three prompts were largely equivalent in their capacity to detect differences among writers in all the features of writing. The difficulty levels of the three prompts, however, were not necessarily the same. Two prompts, Dog Owners and Lost Dog, were verified as equivalent prompts, and therefore, they are recommended as alternate forms to assess creative language skills in repeated measurements. The Overslept prompt had greater facility in eliciting diverse words and more temporal connectives in composing stories. The differential difficulty shown among the prompts suggests that the validity of using different picture versions in repeated assessment remains questionable unless those versions undergo equivalence verification.