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Using artificial intelligence to simulate the process of learning Japanese accent rules: Toward the integration of accent into the grammar curriculum

用人工智能模拟学习日语口音规则的过程：将口音融入语法课程

基本信息

批准号：
18K12427
负责人：
ALBIN Aaron
金额：
$ 0.33万
依托单位：
Kobe University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Early-Career Scientists
财政年份：
2018
资助国家：
日本
起止时间：
2018-04-01 至 2021-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-18K12427/
关键词：
corpus textbook Japanese accent pitch prosody L2 SLA database AI pedagogy

项目摘要

In the previous fiscal year, we began conducting a systematic comparison of the corpus's accent annotations (two human + two machine for every sentence) and resolving any resulting disagreements through consultation with a phonetically-trained Tokyo Japanese native speaker. This undertaking finished during this fiscal year, and thus all 26,000+ entries in the database have now been hand-corrected.While this undertaking was ongoing, extensive testing of Chamame's four types of accent rules (C, F, M, and P) proceeded in three stages. First, using the cleaned-up dataset of sentences from the dialogues in Genki, the accent rules were analyzed in terms of frequency, co-occurrence, and relationship to part-of-speech. Second, "P" rules (triggered upon prefixation) were examined in greater depth as a case study, using not only the data from the Genki corpus but also data from the appendix to Shinmeikai Japanese Accent Dictionary. Third, Unidic (the dictionary Chamame draws on for accent information) was analyzed in order to delineate the full range of possible accent rules and combinations thereof, with a carefully-selected illustrative example for each.With the corpus finally completed and rule system thus clarified, the original plan was to run learning simulations and disseminate the results during the second half of this fiscal year. Unfortunately, due to a PI's change in affiliation to outside Japan, it was automatically required to terminate the grant. However, the research itself has continued, and with the corpus now complete, many exciting possibilities are on the horizon.

在上一个财政年度，我们开始对语料库的口音注释进行系统比较（每个句子两个人+两个机器），并通过与经过语音训练的东京日语母语者协商解决任何由此产生的分歧。这项工作在本财政年度完成，因此数据库中的所有26，000多个条目现在都已手工更正。在这项工作进行的同时，对Chamame的四种口音规则（C，F，M和P）的广泛测试分三个阶段进行。首先，使用Genki对话中的句子的清理数据集，从频率，共现以及与词性的关系方面分析口音规则。第二，“P”规则（触发前缀）进行了更深入的研究，作为一个案例研究，不仅使用的数据从元气语料库，而且数据从附录新明会日本口音词典。第三，通过对Unidic（Chamame的口音信息词典）的分析，对各种可能的口音规则及其组合进行了详细的分析，并对每一种规则都进行了精心挑选。最终完成了语料库，明确了规则体系，原计划在本财年下半年进行学习模拟，并公布结果。不幸的是，由于PI与日本境外的隶属关系发生变化，因此自动需要终止资助。然而，研究本身仍在继续，随着语料库的完成，许多令人兴奋的可能性即将出现。