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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/142759


    Title: 應用文步分析探究言語行為--以公共政策網路參與平臺提案文類為例
    A Move Analysis of Communicative Acts in Petition Text on the Public Policy Participation Network Platform
    Authors: 鍾曉芳
    Chung, Siaw-Fong
    楊惟婷;謝承諭
    Yang, Wei-ting;Hsieh, Chester Chen-yu
    Contributors: 英文系
    Keywords: 文步分析;問題-解方;政策論證;言語行為;Join平臺
    Move analysis;SPSE;Policy argumentation;Communicative act;Join platform
    Date: 2022-06
    Issue Date: 2022-12-27
    Abstract: 隨著科技快速發展，政府致力將資訊技術應用於創建Join平臺，促進人民藉由網路提案參與公共議題討論，此類文本之重要性也隨著提高。有鑑於此，本研究旨在應用文步分析，探究中文網路提案寫作架構及語言特徵，自平臺上挑選40篇提案文章建構語料庫，再以人工標記文章中情況、問題、解方、評價（SPSE）四大文步，並使用AntConc軟體檢索各文步中的高頻詞彙，分析其中的言語行為。研究結果整理出各文步在網路提案文章中所出現的規則，本研究結果可提供電腦自動化收集資料、分析標記文步，以及判斷訊息結構中的言語行為等功能之具體參考。
    With the rapid development of information technology, the Taiwanese government has launched the Public Policy Network Participation Platform (Join Platform), which allows citizens to start and support a petition online and voice their opinions regarding public issues. The aim of this study was to apply the method of move analysis to investigate the text structure and linguistic features of the online petition genre. In total, 40 online petition texts were collected from the website and compiled into a corpus using the AntConc application. The collected texts were then annotated with reference to the four moves of the Situation, Problem, Solution, and Evaluation textual pattern and the communicative acts in each move. The results showed that the distribution of the moves varied across the articles and that the communicative acts in each move were represented by high-frequency words. The findings of this research will thus serve as a basis for future applications, such as computerized data collection, automatic annotation of rhetorical moves, and judgment of communicative acts in texts.
    Relation: International Journal of Computational Linguistics & Chinese Language Processing(中文計算語言學期刊), Vol.27, No.1, pp.53-73
    Data Type: article
    Appears in Collections:[英國語文學系] 期刊論文

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