Cover Image

BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Thakkar, Param, Yadav, Anushka, Tiemann, Michael, Mehta, Abhi, Bhasin, Akshita, Khedkar, Shrinivas
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
by: Maji, Subhadip, et al.
Published: (2026)

Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
by: Thakkar, Param, et al.
Published: (2024)

A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations
by: Kowtal, Nidhi, et al.
Published: (2024)

Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)

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

Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants
by: Kanade, Manasi, et al.
Published: (2026)

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

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

MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
by: Li, Rumeng, et al.
Published: (2019)

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

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

Pivot Language for Low-Resource Machine Translation
by: Talwar, Abhimanyu, et al.
Published: (2025)

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

Improving Low-Resource Machine Translation via Cross-Linguistic Transfer from Typologically Similar High-Resource Languages
by: Boujkian, Saughmon
Published: (2024)

The Re-Label Method For Data-Centric Machine Learning
by: Guo, Tong
Published: (2023)

The Saturation Point of Backtranslation in High Quality Low Resource English Gujarati Machine Translation
by: Arif, Arwa
Published: (2025)

HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit
by: Khushiyant, et al.
Published: (2026)

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

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
by: Zhou, Yue, et al.
Published: (2024)

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)

Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
by: Deshpande, Tejas, et al.
Published: (2024)

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

Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding are Both the Problem
by: Court, Sara, et al.
Published: (2024)

Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data
by: Patwa, Parth, et al.
Published: (2024)

BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and Resources
by: Kumar, Raghvendra, et al.
Published: (2026)

ShobdoSetu: A Data-Centric Framework for Bengali Long-Form Speech Recognition and Speaker Diarization
by: Sakib, Md. Nazmus, et al.
Published: (2026)

Hallucination Detection via Activations of Open-Weight Proxy Analyzers
by: Singh, Akshita, et al.
Published: (2026)

Analysing Public Transport User Sentiment on Low Resource Multilingual Data
by: Myoya, Rozina L., et al.
Published: (2024)

Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
by: Paul, Rakesh, et al.
Published: (2025)

Towards Building Efficient Sentence BERT Models using Layer Pruning
by: Shelke, Anushka, et al.
Published: (2024)

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes
by: Bhasin, Harmon, et al.
Published: (2024)

Many-to-English Machine Translation Tools, Data, and Pretrained Models
by: Gowda, Thamme, et al.
Published: (2021)

Data-Centric AI in the Age of Large Language Models
by: Xu, Xinyi, et al.
Published: (2024)

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

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
by: Kabra, Sanchit, et al.
Published: (2025)

Exploring Adapter Design Tradeoffs for Low Resource Music Generation
by: Mehta, Atharva, et al.
Published: (2025)

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

Conditioning LLMs with Emotion in Neural Machine Translation
by: Brazier, Charles, et al.
Published: (2024)

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

Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs
by: Cassano, Federico, et al.
Published: (2023)