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SOTA
机器翻译
Machine Translation On Iwslt2014 English
Machine Translation On Iwslt2014 English
评估指标
BLEU score
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
BLEU score
Paper Title
PiNMT
32.2
Integrating Pre-trained Language Model into Neural Machine Translation
Bi-SimCut
31.16
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
SimCut
30.98
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
DRDA
30.92
Deterministic Reversible Data Augmentation for Neural Machine Translation
Unidrop
29.99
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
MixedRepresentations
29.93
Sequence Generation with Mixed Representations
0 of 6 row(s) selected.
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Next
HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
机器翻译
Machine Translation On Iwslt2014 English
Machine Translation On Iwslt2014 English
评估指标
BLEU score
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
BLEU score
Paper Title
PiNMT
32.2
Integrating Pre-trained Language Model into Neural Machine Translation
Bi-SimCut
31.16
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
SimCut
30.98
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation
DRDA
30.92
Deterministic Reversible Data Augmentation for Neural Machine Translation
Unidrop
29.99
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
MixedRepresentations
29.93
Sequence Generation with Mixed Representations
0 of 6 row(s) selected.
Previous
Next
Machine Translation On Iwslt2014 English | SOTA | HyperAI超神经