Papers by Hugo Van hamme
TF-LM: TensorFlow-based Language Modeling Toolkit (L18-1)
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| Challenge: | Existing deep learning tools offer building blocks but training and building models takes time and knowledge. |
| Approach: | They propose to make available LSTM language models trained on Dutch texts and English benchmarks. |
| Outcome: | The proposed model can be used to test the perplexity, predict the next word(s), re-score hypotheses or generate debugging files for interpolation with n-gram models. |