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Neural Machine Translation for Low-Resource Languages from a Chinese-centric Perspective: A Survey
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2022 14th International Conference on Machine Learning and Computing (ICMLC)
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Neural Machine Translation for Low-resource Languages: A Survey
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
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Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
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Chinese-Japanese Unsupervised Neural Machine Translation Using Sub-character Level Information
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The Missing Ingredient in Zero-Shot Neural Machine Translation
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inferredcites →https://doi.org/10.48550/arxiv.1912.11637openalex-snapshot
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection
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inferredcites →https://doi.org/10.48550/arxiv.2004.02577openalex-snapshot
Dictionary-based Data Augmentation for Cross-Domain Neural Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.2004.05150openalex-snapshot
Longformer: The Long-Document Transformer
inferredcites →https://doi.org/10.48550/arxiv.2010.11125openalex-snapshot
Beyond English-Centric Multilingual Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.48550/arxiv.2206.03933openalex-snapshot
TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation
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How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2306.10968openalex-snapshot
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2307.04408openalex-snapshot
TIM: Teaching Large Language Models to Translate with Comparison
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Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions
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Extrapolating Large Language Models to Non-English by Aligning Languages
inferredcites →https://doi.org/10.48550/arxiv.2309.11674openalex-snapshot
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2311.16867openalex-snapshot
The Falcon Series of Open Language Models
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A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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