自然语言处理 Paddle NLP - 文本翻译技术及应用-理论
- 什么是机器翻译
- 机器翻译质量的自动评价
- 从统计机器翻译到神经网络机器翻译
- 多语言/多领域/多模态的翻译应用
- 神经网络机器翻译面临的挑战
视频:https://aistudio.baidu.com/aistudio/course/introduce/24177?sharedLesson=1480611&sharedType=2&sharedUserId=2631487&ts=1687143971537
课件:https://aistudio.baidu.com/aistudio/course/introduce/24177?sharedLesson=1718790&sharedType=2&sharedUserId=2631487&ts=1687143985192
什么是机器翻译
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译事三难
信:忠实于原文,忠实度/充分性/准确性
达:译文流利通畅,流利度/流畅性
雅:文学性
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机器翻译发展历程
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三架马车: 数据、算力、算法
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机器翻译的自动评价
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机器翻译基本原理--从统计机器翻译到神经网络翻译
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神经网络机器翻译:基本原理
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SelfAttention计算示例
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注意力=向量相似度
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多语言&多领域&多模态翻译
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文本翻译:自动写诗
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文本翻译:智能春联
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神经网络机器翻译面临的挑战
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面临挑战:融合知识
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