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Hello,
Thanks again for this great lightweight package.
Something I quite dont get is how to get the dependency tree with it.
For instance, consider this simple example
```
library(udpipe)…
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The first time I ran it with `mvn clean test`
`
[ERROR] Failed to execute goal on project language-fr: Could not resolve dependencies for project org.languagetool:language-fr:jar:4.1-SNAPSHOT: Faile…
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For some of the analyses in the book, it's better to stem the words first. For example, in the analysis of inauguration speeches in chapter 6, it makes more sense to group together words like job/jobs…
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Currently the dictionary for Ukrainian analyzer is a blob in the source tree. We should move it out to external dependency, this allows:
- to have less binaries in the source
- easier to update the di…
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# NUSAtlas
# Introduction:
The objective of this project is to make the module mapping process more convenient for students going for SEP/NOC.
Currently, students who wish to create a module mapp…
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- [ ] Start a new R session
- [ ] Install the latest version of caretEnsemble: `devtools::install_github("zachmayer/caretEnsemble")`
- [ ] Install the latest version of caret: `update.packages(oldPk…
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@altintas do you have any week 7 material I can take a look at?
for meeting:
* what kind of notebook
* similar one I can use as an example
* which topics/packages should I focus on?
zonca updated
7 years ago
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Hi,
I downloaded three .bib files from ISI, converted them to a data frame, and stitched them together with the following command:
```
data
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Create a module which reduces word to their word stems and removes punctuation and common words like "is, a, and, or, etc...".
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Hi,
Currently, I use Python nltk for tokenisation and stemming in my PHP project. However, since it's slow to call shell scripts from PHP I'm trying to use a PHP library instead. Based on my tests,…