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##### Text version
0.5.2
##### Orange version
3.18.dev
##### Expected behavior
Lowercase in Preprocess Text puts all words in lowercase.
##### Actual behavior
Only some words ar…
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In the readme file it was written "Do remember tokenization!". What type of tokenization is needed. Do we need to give case sensitive or case insensitive input to the model, is there any normalizatio…
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When I try to install the text add-on, I get the following popup
Here is the detail…
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##### Text version
0.5.0 (not installed though)
##### Orange version
3.15.0 on macOS 10.14 Beta
##### Expected behavior
Orange3-Text installs
##### Actual behavior
The addon f…
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**Rasa Core version**: 0.8.5
**Python version**: 3.6
**Operating system**: osx
**Issue**:
I wonder if the contributors to this project are taking care of the new tag in stackoverflow (rasa-c…
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Is it normal that UDPipe takes more than 4 days to train a model (for Portuguese) using simply "./udpipe --train newmodel.udpipe golden.conllu", in a 8gb RAM i5 CPU machine?
We only managed to fini…
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How do I use Japanese ELMo on my own corpus? In the paper it is indicated that SCIR tokenizer is used. Is there a script provided for this? Also would like to fine-tune the model towards my corpus. Wh…
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Hello,
I am using the function `keywords_rake` but it keeps throwing the following error. What does it mean?
```
UDtext
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The collocation function doesn't give an option to retrieve doc_id's.
doc_id's are needed to create a DTM from collocations with single words for the purpose of document similarity calculations.
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The java tokenizer was technically reversible because it kept track of spaces, I could not find spaces in the python tokenizer.