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Bibliographic Details
Main Authors:	Brazier, Charles, Rouas, Jean-Luc
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2408.03150
Tags:	Add Tag No Tags, Be the first to tag this record!

Self-Vocabularizing Training for Neural Machine Translation
by: Lin, Pin-Jie, et al.
Published: (2025)

To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation
by: Azeemi, Abdul Hameed, et al.
Published: (2024)

An In-depth Walkthrough on Evolution of Neural Machine Translation
by: Jagtap, Rohan, et al.
Published: (2020)

Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation
by: Emezue, Chris
Published: (2024)

From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation
by: Marashian, Ali, et al.
Published: (2024)

Attention Sinks in Massively Multilingual Neural Machine Translation:Discovery, Analysis, and Mitigation
by: Mutisya, Hillary, et al.
Published: (2026)

Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
by: Heo, DongNyeong, et al.
Published: (2023)

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation
by: Tokarchuk, Evgeniia, et al.
Published: (2023)

Self-generated Replay Memories for Continual Neural Machine Translation
by: Resta, Michele, et al.
Published: (2024)

Integrating Pre-trained Language Model into Neural Machine Translation
by: Hwang, Soon-Jae, et al.
Published: (2023)

Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars
by: Lou, Andrés, et al.
Published: (2024)

Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model
by: García-Romero, Cristian, et al.
Published: (2025)

Ensemble Self-Training for Unsupervised Machine Translation
by: Aharon, Ido, et al.
Published: (2026)

Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
by: Chen, Danlu, et al.
Published: (2026)

On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms
by: Yue, Richard, et al.
Published: (2024)

Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)

Towards Explainable Evaluation Metrics for Machine Translation
by: Leiter, Christoph, et al.
Published: (2023)

QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
by: Faria, Gonçalo R. A., et al.
Published: (2024)

Representation Collapse in Machine Translation Through the Lens of Angular Dispersion
by: Tokarchuk, Evgeniia, et al.
Published: (2026)

Angular Dispersion Accelerates $k$-Nearest Neighbors Machine Translation
by: Tokarchuk, Evgeniia, et al.
Published: (2025)

Life Cycle-Aware Evaluation of Knowledge Distillation for Machine Translation: Environmental Impact and Translation Quality Trade-offs
by: Attieh, Joseph, et al.
Published: (2026)

Fine-tuning Large Language Models for Domain-specific Machine Translation
by: Zheng, Jiawei, et al.
Published: (2024)

Low-Resource Machine Translation through the Lens of Personalized Federated Learning
by: Moskvoretskii, Viktor, et al.
Published: (2024)

Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English
by: Shi, Ruikang, et al.
Published: (2022)

Quantifying the Plausibility of Context Reliance in Neural Machine Translation
by: Sarti, Gabriele, et al.
Published: (2023)

Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation
by: Spravil, Julian, et al.
Published: (2025)

Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME
by: Paul, Bidyarthi, et al.
Published: (2025)

Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?
by: Balasubramanian, Nikil Sharan Prabahar, et al.
Published: (2024)

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

Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity
by: Khiu, Eric, et al.
Published: (2024)

Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
by: Vernikos, Giorgos, et al.
Published: (2024)

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

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

Sequence Shortening for Context-Aware Machine Translation
by: Mąka, Paweł, et al.
Published: (2024)

Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning
by: Mhaskar, Shivam Ratnakant, et al.
Published: (2024)

Learning When to Attend: Conditional Memory Access for Long-Context LLMs
by: Choudhary, Sakshi, et al.
Published: (2026)

Training LLMs over Neurally Compressed Text
by: Lester, Brian, et al.
Published: (2024)

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
by: Raffel, Matthew, et al.
Published: (2024)

Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis
by: Shetty, Ahan Prasannakumar
Published: (2025)

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