Copertina

Can Peter Pan Survive MT? A Stylometric Study of LLMs, NMTs, and HTs in Children's Literature Translation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kong, Delu, Macken, Lieve
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Decoding Machine Translationese in English-Chinese News: LLMs vs. NMTs
di: Kong, Delu, et al.
Pubblicazione: (2025)

LiTransProQA: an LLM-based Literary Translation evaluation metric with Professional Question Answering
di: Zhang, Ran, et al.
Pubblicazione: (2025)

Beyond Reproduction: A Paired-Task Framework for Assessing LLM Comprehension and Creativity in Literary Translation
di: Zhang, Ran, et al.
Pubblicazione: (2026)

Stylometric Watermarks for Large Language Models
di: Niess, Georg, et al.
Pubblicazione: (2024)

BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT
di: Choi, Seung-Woo, et al.
Pubblicazione: (2024)

A Stylometric Application of Large Language Models
di: Stropkay, Harrison F., et al.
Pubblicazione: (2025)

PARSI: Persian Authorship Recognition via Stylometric Integration
di: Shahnazari, Kourosh, et al.
Pubblicazione: (2025)

IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
di: Liao, Baohao, et al.
Pubblicazione: (2024)

Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering
di: Fernandes, Patrick, et al.
Pubblicazione: (2025)

StegoStylo: Squelching Stylometric Scrutiny through Steganographic Stitching
di: Dilworth, Robert
Pubblicazione: (2026)

KpopMT: Translation Dataset with Terminology for Kpop Fandom
di: Kim, JiWoo, et al.
Pubblicazione: (2024)

Generating Diverse Translation with Perturbed kNN-MT
di: Nishida, Yuto, et al.
Pubblicazione: (2024)

The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text
di: Al-Shaibani, Maged S., et al.
Pubblicazione: (2025)

Can Large Language Models (LLMs) Describe Pictures Like Children? A Comparative Corpus Study
di: Woloszyn, Hanna, et al.
Pubblicazione: (2025)

KD4MT: A Survey of Knowledge Distillation for Machine Translation
di: de Gibert, Ona, et al.
Pubblicazione: (2026)

StyloAI: Distinguishing AI-Generated Content with Stylometric Analysis
di: Opara, Chidimma
Pubblicazione: (2024)

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs
di: Oshika, Masashi, et al.
Pubblicazione: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
di: Xing, Eric, et al.
Pubblicazione: (2024)

MedMT-Bench: Can LLMs Memorize and Understand Long Multi-Turn Conversations in Medical Scenarios?
di: Yang, Lin, et al.
Pubblicazione: (2026)

GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning
di: Ramos, Rita, et al.
Pubblicazione: (2024)

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
di: Wang, Minghan, et al.
Pubblicazione: (2024)

MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation
di: Gilabert, Javier García, et al.
Pubblicazione: (2024)

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation
di: Li, Kunquan, et al.
Pubblicazione: (2026)

CULL-MT: Compression Using Language and Layer pruning for Machine Translation
di: Rostami, Pedram, et al.
Pubblicazione: (2024)

StylOch at PAN: Gradient-Boosted Trees with Frequency-Based Stylometric Features
di: Ochab, Jeremi K., et al.
Pubblicazione: (2025)

LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
di: Fu, Biao, et al.
Pubblicazione: (2025)

Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
di: Gogoulou, Evangelia, et al.
Pubblicazione: (2025)

Human-AI Collaboration or Academic Misconduct? Measuring AI Use in Student Writing Through Stylometric Evidence
di: Oliveira, Eduardo Araujo, et al.
Pubblicazione: (2025)

Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
di: He, Zhiwei, et al.
Pubblicazione: (2024)

Preliminary WMT24 Ranking of General MT Systems and LLMs
di: Kocmi, Tom, et al.
Pubblicazione: (2024)

The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
di: Sant, Aleix, et al.
Pubblicazione: (2024)

AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation
di: Abdulmumin, Idris, et al.
Pubblicazione: (2026)

FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes
di: Wiśniewski, Dawid, et al.
Pubblicazione: (2024)

Omnilingual MT: Machine Translation for 1,600 Languages
di: Omnilingual MT Team, et al.
Pubblicazione: (2026)

Hy-MT2: A Family of Fast, Efficient and Powerful Multilingual Translation Models in the Wild
di: Zheng, Mao, et al.
Pubblicazione: (2026)

With Good MT There is No Need For End-to-End: A Case for Translate-then-Summarize Cross-lingual Summarization
di: Varab, Daniel, et al.
Pubblicazione: (2024)

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
di: Fujii, Ryo, et al.
Pubblicazione: (2020)

An Empirical Study of In-context Learning in LLMs for Machine Translation
di: Chitale, Pranjal A., et al.
Pubblicazione: (2024)

Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models
di: Guo, Shoutao, et al.
Pubblicazione: (2024)

Scaling Low-Resource MT via Synthetic Data Generation with LLMs
di: de Gibert, Ona, et al.
Pubblicazione: (2025)