How to Install and Uninstall perl-Lingua-EN-Sentence Package on openSuSE Tumbleweed
Last updated: November 23,2024
1. Install "perl-Lingua-EN-Sentence" package
This is a short guide on how to install perl-Lingua-EN-Sentence on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
perl-Lingua-EN-Sentence
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2. Uninstall "perl-Lingua-EN-Sentence" package
Please follow the instructions below to uninstall perl-Lingua-EN-Sentence on openSuSE Tumbleweed:
$
sudo zypper remove
perl-Lingua-EN-Sentence
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3. Information about the perl-Lingua-EN-Sentence package on openSuSE Tumbleweed
Information for package perl-Lingua-EN-Sentence:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : perl-Lingua-EN-Sentence
Version : 0.34-1.3
Arch : noarch
Vendor : openSUSE
Installed Size : 45.5 KiB
Installed : No
Status : not installed
Source package : perl-Lingua-EN-Sentence-0.34-1.3.src
Upstream URL : https://metacpan.org/release/Lingua-EN-Sentence
Summary : Split text into sentences
Description :
The 'Lingua::EN::Sentence' module contains the function get_sentences,
which splits text into its constituent sentences, based on a regular
expression and a list of abbreviations (built in and given).
Certain well know exceptions, such as abbreviations, may cause incorrect
segmentations. But some of them are already integrated into this code and
are being taken care of. Still, if you see that there are words causing the
get_sentences function to fail, you can add those to the module, so it
notices them. Note that abbreviations are case sensitive, so 'Mrs.' is
recognised but not 'mrs.'
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : perl-Lingua-EN-Sentence
Version : 0.34-1.3
Arch : noarch
Vendor : openSUSE
Installed Size : 45.5 KiB
Installed : No
Status : not installed
Source package : perl-Lingua-EN-Sentence-0.34-1.3.src
Upstream URL : https://metacpan.org/release/Lingua-EN-Sentence
Summary : Split text into sentences
Description :
The 'Lingua::EN::Sentence' module contains the function get_sentences,
which splits text into its constituent sentences, based on a regular
expression and a list of abbreviations (built in and given).
Certain well know exceptions, such as abbreviations, may cause incorrect
segmentations. But some of them are already integrated into this code and
are being taken care of. Still, if you see that there are words causing the
get_sentences function to fail, you can add those to the module, so it
notices them. Note that abbreviations are case sensitive, so 'Mrs.' is
recognised but not 'mrs.'