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ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks
Arxiv
0+阅读 · 12月17日
Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
Arxiv
0+阅读 · 12月16日
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation
Arxiv
0+阅读 · 12月13日
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages
Arxiv
0+阅读 · 12月12日
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation
Arxiv
0+阅读 · 12月11日
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and Sinhala
Arxiv
0+阅读 · 12月3日
NMT-Obfuscator Attack: Ignore a sentence in translation with only one word
Arxiv
0+阅读 · 11月19日
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
Arxiv
0+阅读 · 11月12日
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?
Arxiv
0+阅读 · 10月17日
Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models
Arxiv
0+阅读 · 10月17日
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
Arxiv
0+阅读 · 10月22日
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT
Arxiv
0+阅读 · 9月27日
HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks
Arxiv
0+阅读 · 9月27日
Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization
Arxiv
0+阅读 · 9月26日
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation
Arxiv
0+阅读 · 9月26日
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