Add splitter text docs
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.gitignore
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.gitignore
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.scrapy
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.scrapy
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# Sphinx documentation
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# Sphinx documentation
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docs/_build/
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research/_build/
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# PyBuilder
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# PyBuilder
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target/
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target/
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.idea/.gitignore
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.idea/.gitignore
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# Default ignored files
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/shelf/
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/workspace.xml
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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.idea/misc.xml
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.idea/misc.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" languageLevel="JDK_11">
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<output url="file://$PROJECT_DIR$/out" />
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</component>
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</project>
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.idea/ml.iml
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.idea/ml.iml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="JAVA_MODULE" version="4">
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<component name="FacetManager">
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<facet type="Python" name="Python">
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<configuration sdkName="Python 3.9 (venv)" />
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</facet>
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</component>
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<component name="NewModuleRootManager" inherit-compiler-output="true">
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<exclude-output />
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<content url="file://$MODULE_DIR$">
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<excludeFolder url="file://$MODULE_DIR$/venv" />
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</content>
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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<orderEntry type="library" name="Python 3.9 (venv) interpreter library" level="application" />
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</component>
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</module>
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.idea/modules.xml
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.idea/modules.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/ml.iml" filepath="$PROJECT_DIR$/.idea/ml.iml" />
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</modules>
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</component>
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</project>
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.idea/vcs.xml
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.idea/vcs.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="" vcs="Git" />
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</component>
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</project>
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research/text/splitter/splitter.md
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research/text/splitter/splitter.md
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# Text Splitter
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***Objectives***
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- [ ] Split the statement into array of words
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- [ ] Split the concat words into other of array
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***Declaratives***
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- Statement I (split the concat words)
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```text
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myword and youknowaboutitaswell
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```
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- Result as output
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```text
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my word and you know about it as well
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```
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- Result as output in code
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```text
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[my, word, and, you, know, about, it, as, well]
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```
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research/text/splitter/splitter.py
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research/text/splitter/splitter.py
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import enchant
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locale = 'en_US'
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dict = enchant.Dict(locale)
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print(dict.check("Hello"))
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