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Showing 2015 · cs.CLShow all
3 papers · 2 filters
cs.CL2015★ 1 cited
Improve the Evaluation of Fluency Using Entropy for Machine Translation Evaluation Metrics
Hui Yu, Xiaofeng Wu, Wenbin Jiang +2
The widely-used automatic evaluation metrics cannot adequately reflect the fluency of the translations. The n-gram-based metrics, like BLEU, limit the maximum length of matched fra…
cs.CL2015★ 30 cited
Syntax-based Deep Matching of Short Texts
Mingxuan Wang, Zhengdong Lu, Hang Li +1
Many tasks in natural language processing, ranging from machine translation to question answering, can be reduced to the problem of matching two sentences or more generally two sho…
cs.CL2015★ 51 cited
Encoding Source Language with Convolutional Neural Network for Machine Translation
Fandong Meng, Zhengdong Lu, Mingxuan Wang +3
The recently proposed neural network joint model (NNJM) (Devlin et al., 2014) augments the n-gram target language model with a heuristically chosen source context window, achieving…