Work

The Efficacy of Pre-editing as a Means of Improving NMT Output

Year: 2025

Type: conference-paper

Abstract: Neural machine translation (NMT/MT) replicates human brain networks and is often considered a “black box” due to its unexplained structure and function. To use NMT effectively, target-language (TL) learners should pre-edit source-language (SL) documents, similar to how humans paraphrase first-language (L1) texts before translating to second-language (L2) (Tsuji, 2024). Previous studies have shown that pre-editing

Source: Asian Conference on Education official conference proceedings/ACE

DOI: 10.22492/issn.2186-5892.2025.57

Authors: Kayo Tsuji, Benjamin Neil Smith, Kiyo Okamoto

Institutions: Osaka Metropolitan University, Kwansei Gakuin University

Language: English

Topic: Translation Studies and Practices

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408409913