CALLIDUS - Computer-Aided Language Learning: Corpus-Based Lexical Acquisition for Latin

CALLIDUS - 计算机辅助语言学习：基于语料库的拉丁语词汇习得

• 批准号: 316618374
• 负责人: Malte Dreyer
• 金额: --
• 依托单位: Computer- und Medienservice (Rechenzentrum)
• 依托单位国家: 德国
• 项目类别: Research data and software (Scientific Library Services and Information Systems)
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/316618374?language=en
• 关键词: CALLIDUS; Computer; Aided; Language; Learning

What are the benefits of corpus-based methods for lexical acquisition like those that are used in the teaching of modern languages for the instruction of the Latin language? The Callidus project will address this question by means of a controlled intervention study. The project will re-use, extend, and combine existing Latin corpora, search tools and a teaching platform. Learning the vocabulary in any foreign language is a complex task because of a high degree of polysemy, the semantic interdependence of words and multi word expressions, and the linking of lexical material with grammatical constructions. The traditional (and widely and often exclusively used) method of memorization of word equations is therefore not very effective. A more promising method is to present lexical entities in many different contexts. Corpus-based methods allow the production of teaching materials (examples and exercises) complementing the textbook in an ad-hoc manner. In order to fulfill that goal, the corpora need to be annotated on several layers (lemma, part-of-speech, frequencies, dependencies) and must be searchable across these levels. Different types of exercises will be produced that can flexibly combined with various lexical and grammatical materials.Several cycles of a controlled, design-based intervention study will be conducted in 10th forms in high schools (Gymnasium) in Berlin and Munich. A control group taught by traditional means will be compared to a group which is instructed using corpus-based materials. Corpora of classical Latin compiled and annotated for lingustic research in the LangBank project (http://sfs.uni-tuebingen.de/langbank)will be supplemented with curricular information and semantic relations. Exercises produced on the basis of the corpora will be presented in the Moodle learning platform which will also contain the data from the intervention study (testing materials, scores) and serve as a communication platform for the user groups.The corpora will be hosted in the LAUDATIO repository (http://www.laudatio-reposi-tory.org/repository/) and are searchable by the powerful multi-layer search engine ANNIS (http://corpus-tools.org/annis/) by use of a domain specific corpus query language (ANNIS Query Language, AQL). As part of the project a specific component (Machina Callida) will be developed that will extend AQL and connect the corpus to the Moodle system.

基于语料库的词汇习得方法，如现代语言教学中使用的拉丁语教学方法，有什么好处？Callidus项目将通过对照干预研究来解决这个问题。该项目将重新使用、扩展和联合收割机现有的拉丁语语料库、搜索工具和教学平台。学习任何一门外语的词汇都是一项复杂的任务，因为它具有高度的多义性，词汇和多词表达的语义相互依赖性，以及词汇材料与语法结构的联系。因此，传统的（广泛使用的）单词公式记忆方法并不是很有效。一个更有前途的方法是在许多不同的上下文中呈现词汇实体。以语料库为基础的方法允许制作教学材料（例子和练习），以特定的方式补充教科书。为了实现这一目标，语料库需要在几个层次上进行注释（词元、词性、频率、依赖关系），并且必须在这些层次上进行搜索。将制作不同类型的练习，可以灵活地与各种词汇和语法材料相结合。将在柏林和慕尼黑的高中（体育馆）的10年级进行几个周期的受控的、基于设计的干预研究。一个控制组教传统的手段将进行比较，一组是指示使用语料库为基础的材料。为LangBank项目（http：//sfs.uni-tuebingen.de/langbank）中的语言研究而汇编和注释的古典拉丁语语料库将补充课程信息和语义关系。在语料库的基础上制作的练习将在Moodle学习平台上展示，该平台还将包含干预研究的数据（测试材料、分数），并作为用户群体的交流平台，语料库将存放在LAUDATIO储存库（http：//www.laudatio-repository.org/repository/）中，可通过强大的多层搜索引擎ANNIS（http：//corpus-tools.org/annis/）使用特定领域的语料库查询语言（ANNIS查询语言，AQL）进行搜索。作为该项目的一部分，将开发一个特定的组件（Machina Callida），该组件将扩展AQL并将语料库连接到Moodle系统。