Research


About the Research category (1)
Improvement of performance by data normalization (20)
Why is it hard for bidirectional to learn to output input (4)
Output is single word, repeated n times (3)
How to estimate number of iterations? (2)
Understanding the number of parameters (1)
Pre-Trained English-Korean NMT? (1)
Does CNNEncoder use kernel of (width, 1)? (1)
High Rank RNN model as Encoder or Decoder (1)
How to set the gradient clipping value (1)
Influence sentence's length on translate result (1)
Automatic post-edit training of a training (6)
Will pretrained embeddings also be updated during training? (3)
Input vectors can only be used for the source (2)
Use of OpenNMT for recognizing textual entailment (1)
Using OpenNMT for Information Retrieval (4)
ONNX - a standard for neural network representation (1)
Fast CPU decoding (1)
Multilingual source to English (1)
How to use BPE along with copying mechanism? (1)
How are the word embeddings learned during training? (4)
Basic example OpenNMT and Moses PT<>ES CA<>ES BLEU score results (2)
Sentence Embeddings for English (3)
Reproducing "Neural Machine Translation from Simplified Translations" (3)
Replacing word embedding with lstm over character embedding for rare words in Embeddings.py (1)
About "A Deep Reinforced Model for Abstractive Summarization" (1)
Pruning useless weights (4)
Context-sensitive spell checking (2)
NMT's vocabulary (3)
Is there any efficient reference set(English) for bleu scoring? (3)