How to Install and Uninstall perl-Lingua-EN-Sentence Package on openSUSE Leap
Last updated: February 02,2025
1. Install "perl-Lingua-EN-Sentence" package
Please follow the steps below to install perl-Lingua-EN-Sentence on openSUSE Leap
$
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
Here is a brief guide to show you how to uninstall perl-Lingua-EN-Sentence on openSUSE Leap:
$
sudo zypper remove
perl-Lingua-EN-Sentence
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3. Information about the perl-Lingua-EN-Sentence package on openSUSE Leap
Information for package perl-Lingua-EN-Sentence:
------------------------------------------------
Repository : Main Repository
Name : perl-Lingua-EN-Sentence
Version : 0.33-bp155.1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 46.8 KiB
Installed : No
Status : not installed
Source package : perl-Lingua-EN-Sentence-0.33-bp155.1.4.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 : Main Repository
Name : perl-Lingua-EN-Sentence
Version : 0.33-bp155.1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 46.8 KiB
Installed : No
Status : not installed
Source package : perl-Lingua-EN-Sentence-0.33-bp155.1.4.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.'