Entity · paper

Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages

paperactiveprovisionaltranslation-as-a-computationally-efficient-bridge-feasibility-of-english-bert-for-low-resource-languages-46065e73·1 events·first seen Jul 15, 2026

Aliases: Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages

Co-occurring entities

BERT

More like this (12)

Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?Romanian BERT NeoBERT Beyond Accuracy: Community Perspectives on Machine Translation Neural Machine Translation When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning From Sinhala to Dhivehi: Cross-Lingual Transfer Learning for Low-Resource Speech Recognition Data Synthesis and Parameter-Efficient Fine-Tuning for Low-Resource NMT: A Case Study on Q'eqchi' Mayan Transformer Language Models A Computational Audit of Demographic Association Encoding in ClinicalBERT Language Predictions IndicBERT Measuring User's Mental Models of Speech Translation in Human-AI Collaboration

Recent events (1)

3arXiv · cs.CL·Jul 15, 2026·source ↗

Translation-based fine-tuning of English BERT compared to native-language models across six NLP tasks and five languages

A new arXiv preprint systematically compares translation-based fine-tuning of English BERT against native-language BERT models across six NLP tasks using datasets from Bulgarian, Chinese, Dutch, Italian, and Russian. The translation approach was comparable or superior in 53.3% of cases, with strongest gains in Question Answering, POS Tagging, and NLI, but weaker performance on Named Entity Recognition and Hate Speech Detection. Results suggest translation-based fine-tuning is most effective for syntactic tasks and typologically English-close languages like Dutch, offering a resource-efficient path for low-resource NLP.

Evaluation and Benchmarking Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages BERT