Example Retrieval System using Grammatical Error Detection for Japanese as a Second Language Learners
نویسندگان
چکیده
منابع مشابه
Automated Grammatical Error Detection for Language Learners, Second Edition
Research in automated grammatical error detection and correction has gained considerable momentum in the past few years. Although much progress has been made in this area, numerous challenges and opportunities exist for further research. For NLP researchers and students who are considering following or pursuing work in this area and for English language teaching practitioners and researchers wh...
متن کاملGrammatical Error Correction of English as Foreign Language Learners
This study aimed to discover the insight of error correction by implementing two correction systems on three Iranian university students. The three students were invited to write four in-class essays throughout the semester, in which their verb errors and individual-selected errors were corrected using the Code Correction System and the Individual Correction System. At the end of the study, the...
متن کاملAutomated Grammatical Error Correction for Language Learners
A fast growing area in Natural Language Processing is the use of automated tools for identifying and correcting grammatical errors made by language learners. This growth, in part, has been fueled by the needs of a large number of people in the world who are learning and using a second or foreign language. For example, it is estimated that there are currently over one billion people who are non-...
متن کاملCollocational Aid for Learners of Japanese as a Second Language
We present Collocation Assistant, a prototype of a collocational aid designed to promote the collocational competence of learners of Japanese as a second language (JSL). Focusing on noun-verb constructions, the tool automatically flags possible collocation errors and suggests better collocations by using corrections extracted from a large annotated Japanese language learner corpus. Each suggest...
متن کاملMining Revision Log of Language Learning SNS for Automated Japanese Error Correction of Second Language Learners
We present an attempt to extract a largescale Japanese learners’ corpus from the revision log of a language learning SNS. This corpus is easy to obtain in largescale, covers a wide variety of topics and styles, and can be a great source of knowledge for both language learners and instructors. We also demonstrate that the extracted learners’ corpus of Japanese as a second language can be used as...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2020
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.35-5_a-k23