English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 109952/140887 (78%)
Visitors : 46368443      Online Users : 932
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/148532


    Title: 以語料庫為本之兩個近義詞異同之研究:Awful和Terrible
    A Corpus-Based Study on the Differences and Similarities of Two Near-Synonyms: Awful and Terrible
    Authors: 李品儀
    Li, Pin-Yi
    Contributors: 鍾曉芳
    Chong, Saw-Fong
    李品儀
    Li, Pin-Yi
    Keywords: 語意韻律
    語料庫語言學
    近義詞
    數據驅動學習
    semantic prosody
    corpus linguistics
    near-synonyms
    data-driven learning
    Date: 2023
    Issue Date: 2023-12-01 13:44:04 (UTC+8)
    Abstract: 這項研究深入探討了兩個相似的單詞 "awful" 和 "terrible" 的使用方式,並利用語料庫數據進行分析,專注於它們之間的異同。我們首先使用線上詞典來區分它們的不同詞義和用法。接著,我們手動分析了800個隨機選擇的詞語索引列,關注了它們的語義特點。

    研究結果顯示,儘管 "terrible" 通常與負面情境相關聯,但它也可以用於中性情境和積極情況,而 "awful" 則更廣泛地適用於不同情境。然而,儘管它們有相似的詞義,但並不一定可以互換,這取決於上下文。簡而言之,它們可能在不同語境中傳達不同的意思。

    此外,我們引入了一個基於數據的學習課程,以幫助英語學習者更好地理解這兩個單詞的使用差異。這個課程結合了真實英語用法和研究數據,並提供了比較這些近義詞的任務,以幫助學習者更自信地選擇適當的詞語。
    This study illustrates a corpus study and an application of a data driven learning lesson plan, focusing on the two near-synonyms awful and terrible. The primary objective of the paper is to scrutinize the similarities and differences between the two near-synonyms: awful and terrible utilizing data gathered from both COCA (the Corpus of Contemporary American English) and BNC (The British National Corpus). As an initial step, online dictionaries were mainlyserved as the primary resource for discerning different word meanings and classifications.
    Subsequently, we conducted a manual analysis of eight hundred randomly selected concordance lines, paying close attention to aspects such as the semantic prosody and word meanings. The finding unveiled a notable contrast: while terrible primarily with negative collocates. These refer to not only negative context but also positive instances cases which lacked specific positive or negative. Moreover, the results indicated that both near-synonym share a few of the identified meanings, including ‘extremely bad’, ‘inspiring fear, great fear’, and ‘very great or extreme’. However, while they may share similar meanings, the near-synonyms are not always interchangeable, as evidenced by the semantic prosody. These words convey distinct implications based on the contextual nuances.
    It becomes evident that awful is comparatively employed more frequently, due to its adaptability across a broader spectrum of contexts. However, to enhance comparison of vocabulary and near-synonyms among English learners, this study introduces the application of a data-driven learning lesson plan. This plan integrates authentic English usage with the data collected from the research, creating tasks in which learners will be required to make comparison between these near-synonyms.
    Reference: Abdurrahman, I. (2018). The Ability of EFL Students to Differentiate between Homonymy and. Polysemy.

    Bernardini, S. (2004). Corpora in the classroom, in How to Use Corpora in Language Teaching, ed. J. M. Sinclair (Amsterdam; Philadelphia, PA: John Benjamins), 15–36.

    BNC, Consortium. (2007). The British National Corpus, XML Edition, Oxford Text Archive.
    http://hdl.handle.net/20.500.12024/2554.

    Boers, F. (2013). "Cognitive Linguistic approaches to teaching vocabulary: Assessment and
    integration." Language Teaching, 46. https://doi.org/10.1017/S0261444811000450.

    Ben Ghozlen, B. (2022). 'A man is known by the company he keeps': A critical overview of
    semantic prosody. Legon Journal of the Humanities, 33, 59-79.
    https://doi.org/10.4314/ljh.v33i2.3.

    Boontam, P. (2022). "The Effect of Teaching English Synonyms through Data-Driven Learning
    (DDL) on Thai EFL Students’ Vocabulary Learning." Shanlax International Journal of Education, vol. 10, no. 2, 80–91.

    Boulton, A. (2010). "Data-Driven Learning: Taking the Computer Out of the Equation."
    Language Learning, 60(3), 534–572. https://doi.org/10.1111/j.1467-9922.2010.00566.x.

    Boulton, A., & Thomas, J. (2012). Corpus language input, corpus processes in learning, learner
    corpus product. Introduction, 250–2012. Masaryk University Press. https://hal.science/hal-00683775/document.

    Cambridge Dictionary (2022). Cambridge: Cambridge University Press. https://dictionary.cambridge.org.

    Cheng, W. (2013). "Semantic Prosody." In The International Encyclopedia of Linguistic. Semiotics, 10.1002/9781405198431.wbea11062.

    Chung, S. F. (2011). "A corpus-based analysis of 'create' and 'produce'." Chang Gung Journal of. Humanities and Social Sciences, 4(2), 399-425.

    Corino, E., & Onesti, C. (2019). "Data-Driven Learning: A Scaffolding Methodology for CLIL
    and LSP Teaching and Learning." Frontiers in Education, 4:7. https://doi.org/10.3389/feduc.2019.00007.

    Cruse, D. A. (1986). Lexical Semantics Cambridge: Cambridge University Press.

    Cruse, A. (2006). A Glossary of Semantics and Pragmatics. Edinburgh: Edinburgh University
    Press.

    Crystal, D. (2003). A Dictionary of Linguistics and Phonetics (5th ed.). Oxford: Blackwell Publisher. LTD.

    Davies, M. (2008). The Corpus of Contemporary American English (COCA). Available online at. https://www.english-corpora.org/coca/.

    Di Marco, Hirst, & Stede (1998). "The Semantic and Stylistic Differentiation of Synonyms and
    Near-Synonyms."
    Edmonds, P., & Hirst, G. (2002). Near-synonymy and Lexical Choice . https://www.cs.toronto.edu/pub/gh/Edmonds+Hirst-2002.pdf
    Quirk, R., Greenbaum, S., Leech, G., & Svartvik, J. (1985). A Comprehensive Grammar of the English Language. London: Longman Group Limited.

    Greenbaum, S., & Quirk, R. (1990). A Student's Grammar of the English Language* Longman.

    Hacker (2022). In Merriam-Webster.com. Retrieved from https://www.merriam-
    webster.com/dictionary/hacker.

    Hoffmann, K. (2014). "A corpus-based analysis of the near synonyms 'Nice,' 'Kind,' 'Lovely,'
    'Friendly,' 'Gorgeous,' and 'Pleasant." 122228 BA Paper–Usage-based approach to linguistic investigations. Wien, Universität.

    Hu, H. C. (2015). "A semantic prosody analysis of three adjective synonymous pairs in COCA."
    Journal of Language and Linguistic Studies, 11(2), 117-131.

    Jackson, H., & Amvela, Z. E. (2007). Words, Meaning and Vocabulary: An Introduction to Modern English Lexicology (2nd ed.). Bloomsbury Academic.

    Johns, T. F. (1991). "Should You Be Persuaded: Two Examples of Data-Driven Learning. Materials." English Language Research Journal, No. 4, 1-16.

    Johns, T. F. (1994). "Perspectives on Pedagogical Grammar: From Printout to Handout: Grammar and Vocabulary Teaching in the Context of Data-Driven Learning."

    Kim, M. (2020). "A Qualitative Analysis of EFL Learners' Discrimination of Near-Synonyms in
    a Data-Driven Learning Task." English Teaching, 75, 25-47. https://doi.org/10.15858/engtea.75.3.202009.25.

    Koosha, M., & Jafarpour, A. A. (2006). "Data-Driven Learning and Teaching Collocation of
    Prepositions: The Case of Iranian EFL Adult Learners." Asian EFL Journal, 8(4), 192-209.

    Lertcharoenwanich, P., & Phoocharoensil, S. (2022). "A Corpus-based Study of the Near-
    Synonyms: Purpose, Goal, and Objective." rEFLections, 29(1), 148–168. https://doi.org/10.61508/refl.v29i1.258872.

    Louw, B. (1993). "Irony in the Text or Insincerity in the Writer? The Diagnostic Potential of
    Semantic Prosodies." In M. Baker, G. Francis, & E. Tognini-Bonelli (Eds.), Text and Technology: In Honour of John Sinclair (pp. 157–75). Amsterdam, Netherlands: John Benjamins.

    Louw, B. (2000). "Contextual Prosodic Theory: Bringing Semantic Prosodies to Life." In Words
    in Context: A Tribute to John Sinclair on His Retirement, ed. by Chris Heffer and Helen Sauntson, 48-94. *English Language Research Discourse Analysis Monograph No. 18, CD-ROM*. Birmingham: University of Birmingham.

    Lyons, J. (1968). Introduction to Theoretical Linguistics. London: Cambridge University Press.

    Lyons, J. (1981). Language and Linguistics: An Introduction. Cambridge, [Cambridgeshire];
    New York: Cambridge University Press.

    Nesi, H. (1994). "The Use and Abuse of EFL Dictionaries: How Learners of English as a Foreign
    Language Read and Interpret Dictionary Entries." Thesis, Swansea University. Retrieved from http://cronfa.swan.ac.uk/Record/cronfa42801.

    Partington, A. (2004). "Utterly Content in Each Other’s Company: Semantic Prosody and
    Semantic Preference." International Journal of Corpus Linguistics, 9, 131-156. https://doi.org/10.1075/ijcl.9.1.07par.

    Rasikawati, I. (2018, November 30). "Corpus-based data-driven learning to augment L2 students’ vocabulary repertoire." International Dialogues on Education: Past and Present. Retrieved from https://eric.ed.gov/?id=EJ1245249.

    Schmitt, N. (2010). Researching Vocabulary. https://doi.org/10.1057/9780230293977.

    Sinclair, J. (1987). "Classroom Discourse: Progress and Prospects." RELC Journal, 18(2), 1–14.
    https://doi.org/10.1177/003368828701800201.

    Sinclair, J. (2004). Trust the Text: Language, Corpus, and Discourse. London: Routledge.

    Sowers-Wills, S. (2018). "A Corpus Study of Near-Synonyms and Their Lexicographic
    Representation." Indiana University Linguistic Club Working Papers, 18(1).

    Stubbs, M. (1995). "Collocations and Semantic Profiles: On the Cause of the Trouble
    Quantitative Methods." Functions of Language, 2, 1-33.

    Taylor, J.R. (2003). "Near Synonyms as Co-Extensive Categories: ‘High’ and ‘Tall’ Revisited."
    Language Sciences, 25, 263-284.

    Wongsinkongman, K. (2016). "A Corpus-Based Study of the English Synonyms COMPLETE,
    ACHIEVE, AND ACCOMPLISH." Thesis Archive. Retrieved on January 17, 2022.

    Viera, R. T. (2016, January). "The Importance of Vocabulary Knowledge in the Production of
    Written Texts: A Case Study on EFL Language Learners." Retrieved from https://www.researchgate.net/publication/316148312_The_importance_of_vocabulary_knowledge_in_the_production_of_written_texts_a_case_study_on_EFL_language_learners.

    Yeh, Y., Liou, H. C., & Li, Y. H. (2007). "Online Synonym Materials and Concordance for EFL
    College Writing." Computer Assisted Language Learning, 20(2), 131-152.






















    Description: 碩士
    國立政治大學
    英國語文學系
    110551024
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110551024
    Data Type: thesis
    Appears in Collections:[英國語文學系] 學位論文

    Files in This Item:

    File Description SizeFormat
    102401.pdf6104KbAdobe PDF0View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback