Copertina

Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zebaze, Armel, Sagot, Benoît, Bawden, Rachel
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

LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens
di: Zebaze, Armel, et al.
Pubblicazione: (2025)

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
di: Zebaze, Armel, et al.
Pubblicazione: (2025)

In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
di: Zebaze, Armel, et al.
Pubblicazione: (2024)

Tree of Problems: Improving structured problem solving with compositionality
di: Zebaze, Armel, et al.
Pubblicazione: (2024)

Disentangling meaning from language in LLM-based machine translation
di: Lasnier, Théo, et al.
Pubblicazione: (2026)

Explicit Learning and the LLM in Machine Translation
di: Marmonier, Malik, et al.
Pubblicazione: (2025)

Testing the Deliteralization Hypothesis in Human and Machine Translation
di: Marmonier, Malik, et al.
Pubblicazione: (2026)

Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation
di: Marmonier, Malik, et al.
Pubblicazione: (2026)

Towards Zero-Shot Multimodal Machine Translation
di: Futeral, Matthieu, et al.
Pubblicazione: (2024)

mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus
di: Futeral, Matthieu, et al.
Pubblicazione: (2024)

A French Version of the OLDI Seed Corpus
di: Marmonier, Malik, et al.
Pubblicazione: (2025)

Making Sentence Embeddings Robust to User-Generated Content
di: Nishimwe, Lydia, et al.
Pubblicazione: (2024)

Investigating Length Issues in Document-level Machine Translation
di: Peng, Ziqian, et al.
Pubblicazione: (2024)

When your Cousin has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages
di: Bafna, Niyati, et al.
Pubblicazione: (2023)

TULUN: Transparent and Adaptable Low-resource Machine Translation
di: Merx, Raphaël, et al.
Pubblicazione: (2025)

An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese
di: Son, Tran Ngoc, et al.
Pubblicazione: (2025)

Gaperon: A Peppered English-French Generative Language Model Suite
di: Godey, Nathan, et al.
Pubblicazione: (2025)

Can Character-based Language Models Improve Downstream Task Performance in Low-Resource and Noisy Language Scenarios?
di: Riabi, Arij, et al.
Pubblicazione: (2021)

Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
di: Li, Bin, et al.
Pubblicazione: (2022)

Embedded Translations for Low-resource Automated Glossing
di: Yang, Changbing, et al.
Pubblicazione: (2024)

Analyzing Context Contributions in LLM-based Machine Translation
di: Zaranis, Emmanouil, et al.
Pubblicazione: (2024)

Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation
di: Qian, Shenbin, et al.
Pubblicazione: (2026)

Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair
di: Borisov, Maksim, et al.
Pubblicazione: (2025)

Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review
di: Raja, Rahul, et al.
Pubblicazione: (2025)

LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
di: Coleman, Jared, et al.
Pubblicazione: (2024)

Molyé: A Corpus-based Approach to Language Contact in Colonial France
di: Dent, Rasul, et al.
Pubblicazione: (2024)

Self-Evolution Knowledge Distillation for LLM-based Machine Translation
di: Song, Yuncheng, et al.
Pubblicazione: (2024)

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
di: Mao, Zhuoyuan, et al.
Pubblicazione: (2024)

Dialectal and Low-Resource Machine Translation for Aromanian
di: Jerpelea, Alexandru-Iulius, et al.
Pubblicazione: (2024)

From LLM to NMT: Advancing Low-Resource Machine Translation with Claude
di: Enis, Maxim, et al.
Pubblicazione: (2024)

Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
di: Sun, Yanming, et al.
Pubblicazione: (2025)

CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages
di: Maurya, Kaushal Kumar, et al.
Pubblicazione: (2023)

BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation
di: Thakkar, Param, et al.
Pubblicazione: (2026)

A Bayesian Optimization Approach to Machine Translation Reranking
di: Cheng, Julius, et al.
Pubblicazione: (2024)

Preliminary Ranking of WMT25 General Machine Translation Systems
di: Kocmi, Tom, et al.
Pubblicazione: (2025)

Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
di: Zheng, Tong, et al.
Pubblicazione: (2025)

Improving LLM-based Document-level Machine Translation with Multi-Knowledge Fusion
di: Liu, Bin, et al.
Pubblicazione: (2025)

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation
di: Yin, Yongjing, et al.
Pubblicazione: (2024)

Typologically-Informed Candidate Reranking for LLM-based Translation into Low-Resource Languages
di: Abeykoon, Nipuna, et al.
Pubblicazione: (2026)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
di: Pan, Shilong, et al.
Pubblicazione: (2024)