ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks

@inproceedings{Gupta2015ReValAS,
  title={ReVal: A Simple and Effective Machine Translation Evaluation Metric Based on Recurrent Neural Networks},
  author={Rohit Gupta and Constantin Orasan and Josef van Genabith},
  booktitle={EMNLP},
  year={2015}
}
Many state-of-the-art Machine Translation (MT) evaluation metrics are complex, involve extensive external resources (e.g. for paraphrasing) and require tuning to achieve best results. We present a simple alternative approach based on dense vector spaces and recurrent neural networks (RNNs), in particular Long Short Term Memory (LSTM) networks. For WMT-14, our new metric scores best for two out of five language pairs, and overall best and second best on all language pairs, using Spearman and… CONTINUE READING
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