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It looks like the script:
https://github.com/kaldi-asr/kaldi/blob/master/egs/wsj/s5/utils/lang/add_unigrams_arpa.pl
Doesn't make any attempt to assure that the unigrams probabilities sum to 1.…
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Allowing tokenize documents with character n-grams would be useful.
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Hi, I having been using a skip-gram pretrained model in .txt format for supervised learning. However, I noticed that .txt format does not contain embeddings for the subwords. When I tried to load the …
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can you share link for code for mentioned Word2vec Word ambiguity algorithm?
https://www.youtube.com/watch?v=cn4sI39uD_Q&feature=youtu.be&t=2886
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I found that [WordRank ](https://radimrehurek.com/gensim/models/wrappers/wordrank.html) model could be trained with `symmetric` parameter. I allows to predict next word in sequence based only on the l…
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I compiled and install Julius in Ubuntu 18.04.4 Desktop in a Laptop, and then modified /ENVR-v5.4.Dnn.Bin/dnn.jconf as follows:
feature_type MFCC_E_D_A_Z
feature_options -htkconf wav_confi…
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## 一言でいうと
Skip-gram with negative samplingで学習したword embeddingが、ある仮定の下ではPMIの行列を分解しているのと等価なことを示した論文。SPPMIを用いて単語を表現したところ単語類似度タスクとアナロジータスクのうちの一つで性能が向上することを示した。
### 論文リンク
https://papers.nips.cc/paper/…
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Is this implementation the distributed bag of words ('PV-DBOW') or the distributed memory ('PV-DM') model
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To generate G.fst I executed
```
arpa2fst --disambig-symbol=#0 --read-symbol-table=$lang/words.txt $local/tmp/lm.arpa $lang/G.fst
```
which outputs the following warning:
```
yh2901@instance-1:…