本文選題：二語教學(xué)　切入點(diǎn)：詞匯測(cè)試　出處：《中文信息學(xué)報(bào)》2017年01期 　論文類型：期刊論文

【摘要】：為了提升漢語詞匯測(cè)試的命題效率,該文從漢語語言特性和二語教學(xué)需求出發(fā),對(duì)詞語聽力、多空詞語選擇、詞語排序和單空詞語選擇四種詞匯測(cè)試題型進(jìn)行自動(dòng)命題嘗試,以滿足不同語言信息、不同難度的詞匯知識(shí)考查。在詞語特征的提取上,構(gòu)建了一個(gè)覆蓋詞音、詞形、詞義、語法、搭配、偏誤各層次信息的詞匯知識(shí)庫,在句子特征的提取上,實(shí)現(xiàn)了語法項(xiàng)目自動(dòng)識(shí)別、句子難度分析等算法,為自動(dòng)命題中的題干句、目標(biāo)詞和干擾項(xiàng)選擇提供依據(jù)。通過詞句選擇和語塊合成等步驟,生成四種題型共計(jì)7 263道詞匯測(cè)試題。人工測(cè)試數(shù)據(jù)顯示,詞匯測(cè)試自動(dòng)命題的初步嘗試取得了較好的效果,約58%的試題被評(píng)價(jià)為完全合理,經(jīng)人工簡單調(diào)整,試題接受率達(dá)到75.7%。
[Abstract]:In order to improve the propositional efficiency of Chinese vocabulary testing, this paper attempts to make automatic propositions on four types of lexical test questions, namely, word listening, multi-empty word selection, word sorting and single empty word selection, based on the Chinese language characteristics and the needs of second language teaching. In order to meet the needs of different language information and different difficulty of lexical knowledge, a lexical knowledge base covering all levels of information of word sounds, forms, meanings, grammar, collocations and errors is constructed in the extraction of lexical features. In the aspect of sentence feature extraction, automatic recognition of grammatical items, sentence difficulty analysis and other algorithms are realized, which provide the basis for the selection of topic dry sentences, target words and distractions in automatic propositions, and through the steps of sentence selection and chunks synthesis, etc. A total of 7 263 vocabulary test questions were produced. The manual test data showed that the preliminary attempt of automatic test of vocabulary test had achieved good results, and about 58% of the questions were evaluated as completely reasonable and adjusted by manual simple adjustment. The acceptance rate of test questions reached 75.7%.
【作者單位】： 北京師范大學(xué)中文信息處理研究所;
【基金】：國家語委“十二五”科研規(guī)劃項(xiàng)目(YB125-124)
【分類號(hào)】：H146.2;TP391.1

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本文編號(hào)：1577936