Feature Importance Ranking of Translationese Markers in L2 Writing: A Corpus-Based Statistical Analysis across Disciplines

Autor/inn/en	Lee, Younghee Cheri; Jwa, Soomin
Titel	Feature Importance Ranking of Translationese Markers in L2 Writing: A Corpus-Based Statistical Analysis across Disciplines
Quelle	In: English Teaching, 78 (2023) 2, S.55-81 (27 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1017-7108
Schlagwörter	Translation; Second Language Learning; Journal Articles; Documentation; Computational Linguistics; Phrase Structure; Native Language; Writing (Composition); Language Patterns; Word Frequency; Comparative Analysis; Intellectual Disciplines; Statistical Analysis; Form Classes (Languages); Language Universals; Writing Processes; Language Processing; English; English (Second Language) + Suchen Sie Ihr Suchwort? Zweitsprachenerwerb; Journal article; Zeitschriftenaufsatz; Dokumentation; Linguistics; Computerlinguistik; Phrasenstruktur; Schreibübung; Sprachmodell; Sprachstruktur; Word analysis; Frequency; Wortanalyse; Häufigkeit; Geisteswissenschaften; Statistische Analyse; Analytischer Sprachbau; Sprachverarbeitung; English language; Englisch; English as second language; English; Second Language; Englisch als Zweitsprache
Abstract	In recent years, an array of studies has focused on 'translationese' (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for predicting the divergence of L1 and L2 texts. This study builds on this work, evaluating the feature importance ranking of specific translationese markers, including standardized type-token ratio (STTR), mean sentence length, bottom-frequency words, connectives, and n-grams. A random forest model was used to compare these markers in L1 and L2 academic journal article abstracts, providing a robust quantitative analysis. We further examined the consistency of these markers across different academic disciplines. Our results indicate that bottom-frequency words are the most reliable markers across disciplines, whereas connectives show the least consistency. Interestingly, we identified three-word lexical bundles as discipline-specific markers. These findings present several implications and open new avenues for future research into translationese in L2 writing. (As Provided).
Anmerkungen	Korea Association of Teachers of English. 6105 English Education Department, Chinju National University of Education, 369beon-gil 3, Jinyangho-ro, Jinju, Gyeongsangnam-do, 52673, Republic of Korea. Tel: +82-42-629-7381; Fax: +82-42-629-7320; e-mail: katejournal29@gmail.com; Web site: http://journal.kate.or.kr/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01