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# Dynamic N-Grams task
I will gather all the progress on the Dynamic N-Grams task in this issue. I will likely update this issue regularly (hopefully), so you may want to unsubscribe from this issue …
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As far as I understand, there is no way to work with n-grams and the stm package. I haven't found any discussion on this topic.
Is that correct? And if yes, is there a practical or theoretical (or…
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In #771 I tested the effects of reducing the distillation data to understand that expensive part of our pipeline. However, we should do it again for the `base` student model, as the other one was done…
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Using the FreqDist and ConditionalFreqDist from NLTK, build the uni-gram bi-gram and trig-gram models for both words and tags.
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After processing wikipedia with the fixes as of `274293f3af97c507416f6387020507ee99ca3238`, the tail of the DocFreqTable has a lot of n-grams:
~~~
724ddeaf8cb3c269,1,0,1.93455e-07,Vasilije Veljko …
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**Description**: Develop tests to verify the correctness of each function, including text preprocessing and trigram generation.
**Checklist**:
- [ ] Research testing strategies for NLP models, esp…
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https://github.com/MaartenGr/KeyBERT/blob/6ab9af1cfe74a126e709539a2467426d0881945c/keybert/_highlight.py#L94
this line should be `skip = skip - 2`
aucan updated
2 years ago
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**Describe the bug**
This is related to issue https://github.com/onnx/sklearn-onnx/pull/485. onnxruntime seems to be missing n-grams if there are stopwords in between. ``ngrams([a b c] , (1, 2)) --> …
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Some counts are off by 2 to 3 % in version 1.9.3:
```
> x=ngram(c("der","die","der die", "der+die","der die + die"), corpus = "de-2019", smoothing=0, count=TRUE)
> x
# Ngram data table
# Phrase…