:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Lankford, Séamus
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2403.01580
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Design of an Open-Source Architecture for Neural Machine Translation
by: Lankford, Séamus, et al.
Published: (2024)

Transformers for Low-Resource Languages: Is Féidir Linn!
by: Lankford, Séamus, et al.
Published: (2024)

adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
by: Lankford, Séamus, et al.
Published: (2024)

Sociotechnical Effects of Machine Translation
by: Moorkens, Joss, et al.
Published: (2025)

adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
by: Lankford, Séamus, et al.
Published: (2024)

Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021
by: Lankford, Séamus, et al.
Published: (2024)

Human Evaluation of English--Irish Transformer-Based NMT
by: Lankford, Séamus, et al.
Published: (2024)

gaHealth: An English-Irish Bilingual Corpus of Health Data
by: Lankford, Séamus, et al.
Published: (2024)

How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes
by: Vieira, Inacio, et al.
Published: (2024)

Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages
by: Lankford, Séamus, et al.
Published: (2024)

Neural Architecture Search using Particle Swarm and Ant Colony Optimization
by: Lankford, Séamus, et al.
Published: (2024)

OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages
by: Merx, Raphaël, et al.
Published: (2025)

The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation
by: Sälevä, Jonne, et al.
Published: (2021)

A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
by: Malinga, Melusi, et al.
Published: (2024)

Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
by: Wei, Bin, et al.
Published: (2024)

LLMs for Translation: Historical, Low-Resourced Languages and Contemporary AI Models
by: Tekgurler, Merve
Published: (2025)

Evaluating Explainable AI Attribution Methods in Neural Machine Translation via Attention-Guided Knowledge Distillation
by: Nourbakhsh, Aria, et al.
Published: (2026)

Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models
by: Yuksel, Kamer Ali, et al.
Published: (2025)

TALL -- A Trainable Architecture for Enhancing LLM Performance in Low-Resource Languages
by: Ofer, Moshe, et al.
Published: (2025)

EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation
by: Xu, Yulin, et al.
Published: (2022)

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

Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances
by: Chang, Chen-Chi, et al.
Published: (2025)

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation
by: Shu, Peng, et al.
Published: (2024)

Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages
by: Guan, Kevin, et al.
Published: (2026)

Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning
by: Attia, Ahmed, et al.
Published: (2026)

Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen
by: Zainaldin, James L., et al.
Published: (2026)

On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
by: Choenni, Rochelle, et al.
Published: (2024)

Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation
by: Jiang, Zhaokun, et al.
Published: (2024)

Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
by: Benkirane, Kenza, et al.
Published: (2024)

Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
by: Ji, Jiazhou, et al.
Published: (2024)

Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
by: Proietti, Lorenzo, et al.
Published: (2025)

Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation
by: Kimera, Richard, et al.
Published: (2024)

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
by: Gurav, Namrata Patil, et al.
Published: (2026)

Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
by: Ramasethu, Aishwarya, et al.
Published: (2026)

AI Diffusion in Low Resource Language Countries
by: Misra, Amit, et al.
Published: (2025)

Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach
by: Carrión, Salvador, et al.
Published: (2025)

SPRING Lab IITM's submission to Low Resource Indic Language Translation Shared Task
by: Sayed, Hamees, et al.
Published: (2024)

TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
by: Upadhayay, Bibek, et al.
Published: (2023)

Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models
by: Wang, Jialin, et al.
Published: (2024)

BanglaNirTox: A Large-scale Parallel Corpus for Explainable AI in Bengali Text Detoxification
by: Mohsin, Ayesha Afroza, et al.
Published: (2025)