newsReddit r/MachineLearningTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P]
Hey all. I recently started working on a project to improve machine-translated webnovels via style transfer. The basic idea is to take the clunky translated prose and rewrite it to something that reads like it was written by a professional author, while remaining as faithful as possible to the original text. The source material is mostly amateur/MTL output full of direct sentence structure translations carried over from Chinese, awkward honorifics,
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 46%Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law →
- PossiblePossibly related (embedding) · 45%STEB: Style Text Embedding Benchmark →
- PossiblePossibly related (embedding) · 48%rockbenben/md-translator →
- PossiblePossibly related (embedding) · 50%Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Text →
- PossiblePossibly related (embedding) · 49%onekapisch/easy-write →
- PossiblePossibly related (embedding) · 54%Can an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level Translation →
- PossiblePossibly related (embedding) · 46%Literary Non-Style in LLM-Generated Text →
- PossiblePossibly related (embedding) · 49%AI_LectureNote: A Retrospective Pilot Study of a Post-ASR Workflow for English-Script Rendering and Semantic Drift in Korean-English Medical Lectures →
Covers
Covers (incoming)
reporockbenben/md-translatorpaperLetter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Textrepoonekapisch/easy-writepaperCan an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level TranslationpaperLiterary Non-Style in LLM-Generated TextpaperAI_LectureNote: A Retrospective Pilot Study of a Post-ASR Workflow for English-Script Rendering and Semantic Drift in Korean-English Medical LecturespaperTranslation as Augmentation: Effect of Translated Data on Assessment of Difficultyrepomozilla/translationspaperOn the Systematic Challenges of Culturally Loaded Machine Translation: Dream of the Red Chamber as the Cultural Lens
Related across the graph
paperTranslation as Augmentation: Effect of Translated Data on Assessment of Difficultyreporockbenben/md-translatorpaperOn the Systematic Challenges of Culturally Loaded Machine Translation: Dream of the Red Chamber as the Cultural LenspaperLetter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Textrepomozilla/translationspaperProbing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Lawrepoonekapisch/easy-writepaperCan an Old Dog Be Taught New Tricks? Taking LLMs Beyond Sentence Level TranslationpaperLiterary Non-Style in LLM-Generated TextpaperAI_LectureNote: A Retrospective Pilot Study of a Post-ASR Workflow for English-Script Rendering and Semantic Drift in Korean-English Medical LecturespaperSTEB: Style Text Embedding Benchmark