Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Computational Linguistics | 1 |
| Computer Software | 1 |
| Contrastive Linguistics | 1 |
| English (Second Language) | 1 |
| Error Patterns | 1 |
| Grammar | 1 |
| Korean | 1 |
| Language Processing | 1 |
| Morphemes | 1 |
| Morphology (Languages) | 1 |
| Nouns | 1 |
| More ▼ | |
Source
| Journal of Pan-Pacific… | 1 |
Author
| Chae-Eun Kim | 1 |
Publication Type
| Information Analyses | 1 |
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textChae-Eun Kim – Journal of Pan-Pacific Association of Applied Linguistics, 2022
This study explores how Korean-to-English machine translation (MT) systems (e.g., Google Translator, NAVER Papago) deal with Korean passive structures. Cross-linguistically, Korean and English passives show different ways to construct passive-voice sentences from active structure. English passives including with [to be + past participle] may have…
Descriptors: Korean, English (Second Language), Second Language Learning, Second Language Instruction
