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Benjamin S. Meyers <ben@splat-library.org>

Project Description

SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.

SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.

System Requirements

SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:

  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict

Installation

  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library

To uninstall run the following in a command line.

 pip3 uninstall SPLAT-library

General Commands

 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file

Functionality & Usage

Coming Soon!

Acknowledgments

See Acknowledgments.

Licensing

See LICENSE.md.

About

Speech Processing & Linguistic Analysis Tool

splat-library.org/

Topics

berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi

Resources

Readme
License
Activity

Stars

11 stars

Watchers

4 watching

Forks

4 forks
Report repository

Releases

Packages

Used by

Contributors

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GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
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Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
Releases
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Used by
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, 'i');
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(function(){
try {
var __m = "*";
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GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
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Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
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Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
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'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
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Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
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var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
Repository files navigation
Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
Resources
Readme
License
Activity
Stars
11 stars
Watchers
4 watching
Forks
4 forks
Report repository
Releases
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Used by
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
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filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
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img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
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filter: none !important;
}
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.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
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}
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}
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var style = document.getElementById('universal-dark-mode-style');
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if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
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} else {
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console.log('[Universal Dark Mode] Disabled');
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}
});
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// Re-apply on dynamic content
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - meyersbs/SPLAT: Speech Processing & Linguistic Analysis Tool · GitHub
Skip to content
BranchesTags
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Build StatusLicensecodecovPyPIPyPIWebsite

Contact Information
 Benjamin S. Meyers <ben@splat-library.org>
Project Description
SPLAT is a command-line application designed to make it easy for linguists (both computer-oriented and non-computer-oriented) to use the Natural Language Tool Kit (NLTK) for analyzing virtually any text file.
SPLAT is designed to help you gather linguistic features from text files and it is assumed that most input files will not be already annotated. In order for SPLAT to function properly, you should ensure that the input files that you provide do not contain any annotations. Because there are so many variations of linguistic annotation schemes, it would simply be impossible to account for all of them in the initial parsing of input files; it is easier for you to remove any existing annotations than it is for me to do so.
System Requirements
SPLAT is being developed and tested on 64-bit Ubuntu 15.10 with Python 3.4.3. Minimum requirements include:
  • Python 3.4 or Later
  • NLTK 3.1 or Later
  • Java (for the Berkeley Parser)
  • NLTK packages brown, stopwords, names, and cmudict
Installation
  1. Ensure that Python3.4 (or newer) is installed on your machine.
  2. Run the following in a command line:
 pip3 install SPLAT-library
To uninstall run the following in a command line.
 pip3 uninstall SPLAT-library
General Commands
 splat --commands # List all available commands
splat --help # Provide helpful information
splat --info # Display version and copyright information
splat --usage # Display basic command line structure
splat splat filename # Display the raw text from the file
Functionality & Usage
Coming Soon!
Acknowledgments
See Acknowledgments.
Licensing
See LICENSE.md.
About
Speech Processing & Linguistic Analysis Tool
splat-library.org/
Topics
berkeley-parsercommand-line-toollibrarylinguisticsnatural-language-processingnltkpypi
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