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Repository: brendano/ark-tweet-nlp
Branch: master
Commit: 72755ccd1b29
Files: 95
Total size: 24.3 MB
Directory structure:
gitextract_oae3wt1e/
├── .gitattributes
├── .gitignore
├── LICENSE.txt
├── README.txt
├── ark-tweet-nlp/
│ ├── pom.xml
│ └── src/
│ └── main/
│ └── resources/
│ └── cmu/
│ └── arktweetnlp/
│ ├── 50mpaths2
│ ├── 6mpaths
│ ├── celebs
│ ├── family
│ ├── female
│ ├── male
│ ├── mobyplaces
│ ├── proper_names
│ ├── tagdict.txt
│ └── videogame
├── data/
│ ├── ritter/
│ │ ├── AccuracyEvaluation.txt
│ │ ├── IssuesWithRitter2011Data.txt
│ │ ├── Makefile
│ │ ├── cleanup_tags.sh
│ │ ├── orig/
│ │ │ ├── ner.txt
│ │ │ └── pos.txt
│ │ ├── pos_fixed.tsv
│ │ ├── pos_fixed.txt
│ │ └── pos_fixed_attempt_to_fix_startquotes.txt
│ ├── twpos-annotator-v0.1/
│ │ ├── MIT-LICENSE
│ │ ├── README
│ │ ├── annotator-instructions.txt
│ │ ├── json.php
│ │ ├── lib/
│ │ │ └── MIT-LICENSE.txt
│ │ ├── pos.php
│ │ └── sample.automatic_tags
│ ├── twpos-data-v0.3/
│ │ ├── README.txt
│ │ ├── anno_changes/
│ │ │ └── oct27_reanno_changes_to_supertsv.diff
│ │ ├── daily547.conll
│ │ ├── full_data/
│ │ │ ├── daily547.supertsv
│ │ │ └── oct27.supertsv
│ │ ├── oct27.conll
│ │ ├── oct27.splits/
│ │ │ ├── oct27.dev
│ │ │ ├── oct27.test
│ │ │ ├── oct27.train
│ │ │ ├── oct27.traindev
│ │ │ └── splits.txt
│ │ └── scripts/
│ │ └── toconll.sh
│ └── twpos-data-v0.3-original-tweets/
│ ├── README.txt
│ ├── daily547.tweets.json.tsv
│ └── oct27.tweets.json.tsv
├── docs/
│ ├── annot_guidelines.tex
│ ├── changelog.txt
│ ├── hacking.txt
│ ├── nathan_notes.md
│ ├── replicate_naacl2013_evaluation.sh
│ ├── training.txt
│ └── word_cluster_notes.md
├── examples/
│ ├── README.txt
│ ├── bill_nye_tho.txt
│ ├── casual.txt
│ ├── example_tweets.txt
│ ├── tagged_tweets_expected.txt
│ └── tweets.jsonline
├── lib/
│ ├── metaphone-map2.txt
│ ├── posBerkeley/
│ │ └── posBerkeley.jar
│ ├── ptb_ordered_metaphone.txt
│ ├── stanford-postagger-2010-05-26.jar
│ └── trove-3.0.0a5.jar
├── pom.xml
├── runTagger.sh
├── scripts/
│ ├── java.sh
│ ├── paired_stats.r
│ ├── prepare_release.sh
│ ├── show.py
│ ├── simple_tests.sh
│ └── toconll.py
├── src/
│ └── cmu/
│ └── arktweetnlp/
│ ├── RunTagger.java
│ ├── Tagger.java
│ ├── Train.java
│ ├── Twokenize.java
│ ├── impl/
│ │ ├── Model.java
│ │ ├── ModelSentence.java
│ │ ├── OWLQN.java
│ │ ├── Sentence.java
│ │ ├── Vocabulary.java
│ │ ├── features/
│ │ │ ├── FeatureExtractor.java
│ │ │ ├── FeatureUtil.java
│ │ │ ├── MetaphoneFeatures.java
│ │ │ ├── MiscFeatures.java
│ │ │ ├── TagDictionary.java
│ │ │ ├── WordClusterPaths.java
│ │ │ └── WordListFeatures.java
│ │ └── package.html
│ ├── io/
│ │ ├── CoNLLReader.java
│ │ └── JsonTweetReader.java
│ ├── package.html
│ └── util/
│ ├── BasicFileIO.java
│ └── Util.java
└── twokenize.sh
================================================
FILE CONTENTS
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FILE: .gitattributes
================================================
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================================================
FILE: .gitignore
================================================
.svn
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.idea
*.iml
out
.settings
.project
.classpath
.checkstyle
mybuild
tokenizer_development
mod/
target/
bin/
*.bak
================================================
FILE: LICENSE.txt
================================================
The full tagger software package is licensed as GPL version 2 or later -- at
least, according to our interpretation of how the GPL works, which we find
confusing, so you should conduct your own legal analysis if this is important
to you. The details are as follows.
src/ -- All original code we've written -- the files in src/ with one
exception below -- we license under the Apache License version 2.0. However,
we have several GPL'd dependencies that we include in this package, which,
as we understand it, force the full package to be GPL.
src/cmu/arktweetnlp/impl/OWLQN.java -- is licensed GPL, originally from the
Stanford POS Tagger version 2010-05-26. It can be removed and the tagger
works just fine with a pre-trained model (but you can't retrain). We are not
aware of an interpretation of the GPL for whether it infects through trained
models.
lib/stanford-postagger-2010-05-26.jar -- license GPL.
lib/posBerkeley.jar -- licensed Apache 2.0 (see below).
lib/trove-3.0.0a5.jar -- licensed LGPL.
(There are many more libraries used in the released version, that have their
own licenses and not listed here.)
... It is possible to remove the GPL'd dependencies, which are somewhat
minimal, but we have not done so at this time. We suspect it won't matter
for the vast majority of use cases, but would be interested in hearing from
you if otherwise.
=======================================================================
GPL version 2:
http://www.gnu.org/licenses/gpl-2.0.html
Apache version 2.0:
http://www.apache.org/licenses/LICENSE-2.0
=======================================================================
posBerkeley.jar is Copyright 2011, Taylor Berg-Kirkpatrick. Licensed as Apache 2.0:
From: Taylor Berg-Kirkpatrick
Date: Thu, 30 Jun 2011 15:33:03 -0700
Subject: Re: license for your code
To: Kevin Gimpel
Sure. I give you guys permission to release under Apache.
On Tue, Jun 28, 2011 at 11:50 AM, Kevin Gimpel <kgimpel@cs.cmu.edu> wrote:
[...]
> Dipanjan, Brendan, and I are working on the release of our group's Twitter
> part-of-speech tagger and we are now trying to figure out what license to
> use with the code that we are releasing. We extended code that you shared
> with Noah last summer
[...]
> But in order to do this, we'd have to ask you to "release" that same code
> you gave to us under an Apache license.
=======================================================================
================================================
FILE: README.txt
================================================
CMU ARK Twitter Part-of-Speech Tagger v0.3.2
http://www.ark.cs.cmu.edu/TweetNLP/
Basic usage for released version
================================
Requires Java 6. To run the tagger on example data, try:
java -Xmx500m -jar ark-tweet-nlp-0.3.2.jar examples/example_tweets.txt
where the jar file is the one included in the release download.
The tagger outputs tokens, predicted part-of-speech tags, and confidences.
Use the "--help" flag for more information. On Unix systems, "./runTagger.sh"
invokes the tagger; e.g.
./runTagger.sh examples/example_tweets.txt
./runTagger.sh --help
We also include a script that invokes just the tokenizer:
./twokenize.sh examples/example_tweets.txt
You may have to adjust the parameters to "java" depending on your system.
If instead you are using a source checkout, see docs/hacking.txt for info.
Information
===========
Version 0.3 of the tagger is much faster and more accurate. Please see the
tech report on the website for details.
For the Java API, see src/cmu/arktweetnlp; especially Tagger.java.
See also documentation in docs/ and src/cmu/arktweetnlp/package.html.
This tagger is described in the following two papers, available at the website.
Please cite these if you write a research paper using this software.
Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments
Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills,
Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and
Noah A. Smith
In Proceedings of the Annual Meeting of the Association
for Computational Linguistics, companion volume, Portland, OR, June 2011.
http://www.ark.cs.cmu.edu/TweetNLP/gimpel+etal.acl11.pdf
Part-of-Speech Tagging for Twitter: Word Clusters and Other Advances
Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, and
Nathan Schneider.
Technical Report, Machine Learning Department. CMU-ML-12-107. September 2012.
Contact
=======
Please contact Brendan O'Connor (brenocon@cs.cmu.edu) and Kevin Gimpel
(kgimpel@cs.cmu.edu) if you encounter any problems.
================================================
FILE: ark-tweet-nlp/pom.xml
================================================
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>edu.cmu.cs</groupId>
<artifactId>ark-tweet-nlp</artifactId>
<packaging>jar</packaging>
<version>0.3.2</version>
<name>CMU ARK TweetNLP: Twitter POS tagger</name>
<url>http://www.ark.cs.cmu.edu/TweetNLP/</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<build>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>build-helper-maven-plugin</artifactId>
<version>1.7</version>
<executions>
<execution>
<id>add-source</id>
<phase>generate-sources</phase>
<goals>
<goal>add-source</goal>
</goals>
<configuration>
<sources>
<source>${basedir}/../src</source>
</sources>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>1.6</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>cmu.arktweetnlp.RunTagger</mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>2.3.2</version>
<configuration>
<source>1.6</source>
<target>1.6</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
<version>2.3.1</version>
<configuration>
<archive>
<index>true</index>
<manifest>
<mainClass>cmu.arktweetnlp.RunTagger</mainClass>
<addClasspath>true</addClasspath>
</manifest>
</archive>
<outputDirectory>../bin</outputDirectory>
</configuration>
</plugin>
<plugin>
<artifactId>maven-dependency-plugin</artifactId>
<executions>
<execution>
<id>copy-dependencies</id>
<phase>package</phase>
<goals>
<goal>copy-dependencies</goal>
</goals>
<configuration>
<outputDirectory>../bin</outputDirectory>
<includeScope>runtime</includeScope>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>com.googlecode.addjars-maven-plugin</groupId>
<artifactId>addjars-maven-plugin</artifactId>
<version>1.0.3</version>
<executions>
<execution>
<goals>
<goal>add-jars</goal>
</goals>
<configuration>
<resources>
<JarResource>
<directory>../lib</directory>
<includes>
<include>**/*.jar</include>
</includes>
</JarResource>
</resources>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>JBoss</id>
<name>jboss-maven2-release-repository</name>
<url>https://oss.sonatype.org/content/repositories/JBoss</url>
</repository>
<repository>
<id>twitter</id>
<url>http://maven.twttr.com/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.4</version>
</dependency>
<dependency>
<groupId>commons-lang</groupId>
<artifactId>commons-lang</artifactId>
<version>2.3</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math</artifactId>
<version>2.1</version>
</dependency>
<dependency>
<groupId>com.twitter</groupId>
<artifactId>twitter-text</artifactId>
<version>1.5.0</version>
</dependency>
<dependency>
<groupId>org.apache.lucene</groupId>
<artifactId>lucene-core</artifactId>
<version>3.0.3</version>
</dependency>
<dependency>
<groupId>com.twitter.common</groupId>
<artifactId>text</artifactId>
<version>0.1.6</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>10.0.1</version>
</dependency>
<!-- START testing dependecies -->
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.8.2</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.hamcrest</groupId>
<artifactId>hamcrest-all</artifactId>
<version>1.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.0.0</version>
</dependency>
<!-- END testing dependecies -->
</dependencies>
</project>
================================================
FILE: ark-tweet-nlp/src/main/resources/cmu/arktweetnlp/50mpaths2
================================================
0000 2)i 40
0000 \i 40
0000 /i/ 40
0000 today-i 41
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0000 #youever 47
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0001111 <URL-naughtydog.com> 174
0001111 ihavent 286
0001111 iv'e 320
0001111 they’ve 393
0001111 #haveyouever 435
0001111 i´ve 544
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0001111 #haveuever 751
0001111 theyve 773
0001111 i'v 824
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0010100 jz 668
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001010101 culda 132
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010110
gitextract_oae3wt1e/ ├── .gitattributes ├── .gitignore ├── LICENSE.txt ├── README.txt ├── ark-tweet-nlp/ │ ├── pom.xml │ └── src/ │ └── main/ │ └── resources/ │ └── cmu/ │ └── arktweetnlp/ │ ├── 50mpaths2 │ ├── 6mpaths │ ├── celebs │ ├── family │ ├── female │ ├── male │ ├── mobyplaces │ ├── proper_names │ ├── tagdict.txt │ └── videogame ├── data/ │ ├── ritter/ │ │ ├── AccuracyEvaluation.txt │ │ ├── IssuesWithRitter2011Data.txt │ │ ├── Makefile │ │ ├── cleanup_tags.sh │ │ ├── orig/ │ │ │ ├── ner.txt │ │ │ └── pos.txt │ │ ├── pos_fixed.tsv │ │ ├── pos_fixed.txt │ │ └── pos_fixed_attempt_to_fix_startquotes.txt │ ├── twpos-annotator-v0.1/ │ │ ├── MIT-LICENSE │ │ ├── README │ │ ├── annotator-instructions.txt │ │ ├── json.php │ │ ├── lib/ │ │ │ └── MIT-LICENSE.txt │ │ ├── pos.php │ │ └── sample.automatic_tags │ ├── twpos-data-v0.3/ │ │ ├── README.txt │ │ ├── anno_changes/ │ │ │ └── oct27_reanno_changes_to_supertsv.diff │ │ ├── daily547.conll │ │ ├── full_data/ │ │ │ ├── daily547.supertsv │ │ │ └── oct27.supertsv │ │ ├── oct27.conll │ │ ├── oct27.splits/ │ │ │ ├── oct27.dev │ │ │ ├── oct27.test │ │ │ ├── oct27.train │ │ │ ├── oct27.traindev │ │ │ └── splits.txt │ │ └── scripts/ │ │ └── toconll.sh │ └── twpos-data-v0.3-original-tweets/ │ ├── README.txt │ ├── daily547.tweets.json.tsv │ └── oct27.tweets.json.tsv ├── docs/ │ ├── annot_guidelines.tex │ ├── changelog.txt │ ├── hacking.txt │ ├── nathan_notes.md │ ├── replicate_naacl2013_evaluation.sh │ ├── training.txt │ └── word_cluster_notes.md ├── examples/ │ ├── README.txt │ ├── bill_nye_tho.txt │ ├── casual.txt │ ├── example_tweets.txt │ ├── tagged_tweets_expected.txt │ └── tweets.jsonline ├── lib/ │ ├── metaphone-map2.txt │ ├── posBerkeley/ │ │ └── posBerkeley.jar │ ├── ptb_ordered_metaphone.txt │ ├── stanford-postagger-2010-05-26.jar │ └── trove-3.0.0a5.jar ├── pom.xml ├── runTagger.sh ├── scripts/ │ ├── java.sh │ ├── paired_stats.r │ ├── prepare_release.sh │ ├── show.py │ ├── simple_tests.sh │ └── toconll.py ├── src/ │ └── cmu/ │ └── arktweetnlp/ │ ├── RunTagger.java │ ├── Tagger.java │ ├── Train.java │ ├── Twokenize.java │ ├── impl/ │ │ ├── Model.java │ │ ├── ModelSentence.java │ │ ├── OWLQN.java │ │ ├── Sentence.java │ │ ├── Vocabulary.java │ │ ├── features/ │ │ │ ├── FeatureExtractor.java │ │ │ ├── FeatureUtil.java │ │ │ ├── MetaphoneFeatures.java │ │ │ ├── MiscFeatures.java │ │ │ ├── TagDictionary.java │ │ │ ├── WordClusterPaths.java │ │ │ └── WordListFeatures.java │ │ └── package.html │ ├── io/ │ │ ├── CoNLLReader.java │ │ └── JsonTweetReader.java │ ├── package.html │ └── util/ │ ├── BasicFileIO.java │ └── Util.java └── twokenize.sh
SYMBOL INDEX (240 symbols across 21 files)
FILE: data/twpos-annotator-v0.1/json.php
function json_indent (line 10) | function json_indent($json) {
FILE: src/cmu/arktweetnlp/RunTagger.java
class RunTagger (line 28) | public class RunTagger {
type Decoder (line 44) | public static enum Decoder { GREEDY, VITERBI }
method die (line 61) | public static void die(String message) {
method RunTagger (line 66) | public RunTagger() throws UnsupportedEncodingException {
method detectAndSetInputFormat (line 70) | public void detectAndSetInputFormat(String tweetData) throws IOExcepti...
method runTagger (line 81) | public void runTagger() throws IOException, ClassNotFoundException {
method goDecode (line 149) | public void goDecode(ModelSentence mSent) {
method runTaggerInEvalMode (line 158) | public void runTaggerInEvalMode() throws IOException, ClassNotFoundExc...
method evaluateOOV (line 205) | private void evaluateOOV(Sentence lSent, ModelSentence mSent) throws F...
method getconfusion (line 215) | private void getconfusion(Sentence lSent, ModelSentence mSent, int[][]...
method evaluateSentenceTagging (line 225) | public void evaluateSentenceTagging(Sentence lSent, ModelSentence mSen...
method formatConfidence (line 234) | private String formatConfidence(double confidence) {
method outputJustTagging (line 242) | public void outputJustTagging(Sentence lSent, ModelSentence mSent) {
method outputPrependedTagging (line 268) | public void outputPrependedTagging(Sentence lSent, ModelSentence mSent,
method main (line 306) | public static void main(String[] args) throws IOException, ClassNotFou...
method finalizeOptions (line 376) | public void finalizeOptions() throws IOException {
method usage (line 393) | public static void usage() {
method usage (line 397) | public static void usage(String extra) {
method wordsInCluster (line 442) | public static HashSet<String> wordsInCluster() {
FILE: src/cmu/arktweetnlp/Tagger.java
class Tagger (line 29) | public class Tagger {
method loadModel (line 39) | public void loadModel(String modelFilename) throws IOException {
class TaggedToken (line 47) | public static class TaggedToken {
method tokenizeAndTag (line 56) | public List<TaggedToken> tokenizeAndTag(String text) {
method main (line 82) | public static void main(String[] args) throws IOException {
FILE: src/cmu/arktweetnlp/Train.java
class Train (line 17) | public class Train {
method Train (line 36) | Train() {
method doFeatureDumping (line 42) | public void doFeatureDumping() throws IOException {
method doTraining (line 49) | public void doTraining() throws IOException {
method readTrainingSentences (line 62) | public void readTrainingSentences(String filename) throws IOException {
method constructLabelVocab (line 68) | public void constructLabelVocab() {
method dumpFeatures (line 78) | public void dumpFeatures() throws IOException {
method extractFeatures (line 87) | public void extractFeatures() throws IOException {
method readWarmStartModel (line 98) | public void readWarmStartModel() throws IOException {
method optimizationLoop (line 104) | public void optimizationLoop() {
class GradientCalculator (line 121) | private class GradientCalculator implements DiffFunction {
method domainDimension (line 123) | @Override
method valueAt (line 128) | @Override
method derivativeAt (line 138) | @Override
method addL2regularizerGradient (line 151) | private void addL2regularizerGradient(double[] grad, double[] flatCoef...
method regularizerValue (line 162) | private double regularizerValue(double[] flatCoefs) {
class MyWeightsPrinter (line 170) | public class MyWeightsPrinter implements WeightsPrinter {
method printWeights (line 172) | @Override
method main (line 185) | public static void main(String[] args) throws IOException {
method usage (line 235) | public static void usage() {
FILE: src/cmu/arktweetnlp/Twokenize.java
class Twokenize (line 34) | public class Twokenize {
method OR (line 82) | public static String OR(String... parts) {
method splitEdgePunct (line 199) | public static String splitEdgePunct (String input) {
class Pair (line 207) | private static class Pair<T1, T2> {
method Pair (line 210) | public Pair(T1 x, T2 y) { first=x; second=y; }
method simpleTokenize (line 214) | private static List<String> simpleTokenize (String text) {
method addAllnonempty (line 284) | private static List<String> addAllnonempty(List<String> master, List<S...
method squeezeWhitespace (line 293) | public static String squeezeWhitespace (String input){
method splitToken (line 298) | private static List<String> splitToken (String token) {
method tokenize (line 310) | public static List<String> tokenize(String text){
method normalizeTextForTagger (line 319) | public static String normalizeTextForTagger(String text) {
method tokenizeRawTweetText (line 332) | public static List<String> tokenizeRawTweetText(String text) {
method main (line 338) | public static void main(String[] args) throws IOException {
FILE: src/cmu/arktweetnlp/impl/Model.java
class Model (line 23) | public class Model {
method Model (line 43) | public Model() {
method startMarker (line 49) | public int startMarker() {
method lockdownAfterFeatureExtraction (line 55) | public void lockdownAfterFeatureExtraction() {
method allocateCoefs (line 61) | public void allocateCoefs(int numLabels, int numObsFeats) {
method inferPosteriorGivenLabels (line 77) | public double[][] inferPosteriorGivenLabels(ModelSentence sentence) {
method greedyDecode (line 101) | public void greedyDecode(ModelSentence sentence, boolean storeConfiden...
method inferPosteriorForUnknownLabels (line 128) | public double[][] inferPosteriorForUnknownLabels(ModelSentence sentenc...
method viterbiDecode (line 139) | public void viterbiDecode(ModelSentence sentence) {
method getColumn (line 179) | private double[] getColumn(double[][] matrix, int col){
method mbrDecode (line 186) | public void mbrDecode(ModelSentence sentence) {
method computeLabelScores (line 195) | public void computeLabelScores(int t, ModelSentence sentence, double[]...
method computeVitLabelScores (line 201) | public void computeVitLabelScores(int t, int prior, ModelSentence sent...
method computeBiasScores (line 209) | public void computeBiasScores(double[] labelScores) {
method computeEdgeScores (line 216) | public void computeEdgeScores(int t, ModelSentence sentence, double[] ...
method viterbiEdgeScores (line 224) | public void viterbiEdgeScores(int prior, ModelSentence sentence, doubl...
method computeObservedFeatureScores (line 231) | public void computeObservedFeatureScores(int t, ModelSentence sentence...
method ThreewiseMultiply (line 240) | public double[] ThreewiseMultiply(double[] a, double[] b, double[] c) {
method computeGradient (line 254) | public void computeGradient(ModelSentence sentence, double[] grad) {
method computeLogLik (line 276) | public double computeLogLik(ModelSentence s) {
method setCoefsFromFlat (line 292) | public void setCoefsFromFlat(double[] flatCoefs) {
method convertCoefsToFlat (line 308) | public double[] convertCoefsToFlat() {
method flatIDsize (line 328) | public int flatIDsize() {
method biasFeature_to_flatID (line 334) | private int biasFeature_to_flatID(int label) {
method edgeFeature_to_flatID (line 337) | private int edgeFeature_to_flatID(int before, int current) {
method observationFeature_to_flatID (line 341) | private int observationFeature_to_flatID(int featID, int label) {
method saveModelAsText (line 383) | public void saveModelAsText(String outputFilename) throws IOException {
method loadModelFromText (line 407) | public static Model loadModelFromText(String filename) throws IOExcept...
method copyCoefsForIntersectingFeatures (line 464) | public static void copyCoefsForIntersectingFeatures(Model sourceModel,...
FILE: src/cmu/arktweetnlp/impl/ModelSentence.java
class ModelSentence (line 12) | public class ModelSentence {
method ModelSentence (line 34) | public ModelSentence(int T) {
FILE: src/cmu/arktweetnlp/impl/OWLQN.java
class OWLQN (line 44) | public class OWLQN {
type TerminationCriterion (line 54) | interface TerminationCriterion {
method getValue (line 55) | double getValue(OptimizerState state, StringBuilder out);
class RelativeMeanImprovementCriterion (line 58) | static class RelativeMeanImprovementCriterion implements TerminationCr...
method RelativeMeanImprovementCriterion (line 62) | RelativeMeanImprovementCriterion() {
method RelativeMeanImprovementCriterion (line 66) | RelativeMeanImprovementCriterion(int numItersToAvg) {
method getValue (line 71) | public double getValue(OptimizerState state, StringBuilder out) {
type WeightsPrinter (line 100) | public interface WeightsPrinter {
method printWeights (line 101) | public void printWeights();
method OWLQN (line 107) | public OWLQN(boolean quiet) {
method OWLQN (line 113) | public OWLQN() {
method OWLQN (line 117) | public OWLQN(TerminationCriterion termCrit, boolean quiet) {
method setQuiet (line 126) | public void setQuiet(boolean q) {
method minimize (line 148) | public double[] minimize(DiffFunction function, double[] initial, doub...
method arrayEquals (line 210) | private boolean arrayEquals(double [] x, double [] y){
method setMaxIters (line 222) | public void setMaxIters(int maxIters) {
method getMaxIters (line 229) | public int getMaxIters() {
method setWeightsPrinting (line 234) | public void setWeightsPrinting(WeightsPrinter printer) {
method setConstrained (line 241) | public static void setConstrained(boolean constrained) {
method setConstrained (line 250) | public static void setConstrained(int numUnconstrainedWeights) {
method isConstrained (line 255) | public static boolean isConstrained() {
method projectWeights (line 262) | protected static double[] projectWeights(double[] c) {
method project (line 300) | public static double[] project(double[] c) {
class OptimizerState (line 327) | class OptimizerState {
method arrayToString (line 344) | private String arrayToString(double [] arr){
method printStateValues (line 354) | private void printStateValues() {
method mapDirByInverseHessian (line 373) | void mapDirByInverseHessian() {
method makeSteepestDescDir (line 400) | void makeSteepestDescDir() {
method fixDirSigns (line 429) | void fixDirSigns() {
method updateDir (line 442) | void updateDir() {
method dirDeriv (line 463) | double dirDeriv() {
method getNextPoint (line 490) | private boolean getNextPoint(double alpha) {
method evalL1 (line 510) | double evalL1() {
method backTrackingLineSearch (line 529) | void backTrackingLineSearch() {
method shift (line 581) | void shift() {
method getValue (line 629) | double getValue() { return value; }
method OptimizerState (line 631) | OptimizerState(DiffFunction f, double[] init, int m, double l1weight, ...
FILE: src/cmu/arktweetnlp/impl/Sentence.java
class Sentence (line 10) | public class Sentence {
method Sentence (line 15) | public Sentence() {
method T (line 20) | public int T() {
method toString (line 24) | public String toString() {
FILE: src/cmu/arktweetnlp/impl/Vocabulary.java
class Vocabulary (line 9) | public class Vocabulary {
method Vocabulary (line 15) | Vocabulary() {
method lock (line 20) | public void lock() {
method isLocked (line 23) | public boolean isLocked() { return isLocked; }
method size (line 25) | public int size() {
method num (line 36) | public int num(String featname) {
method name (line 49) | public String name(int num) {
method contains (line 57) | public boolean contains(String name) {
method toString (line 62) | public String toString() {
method numStrict (line 67) | public int numStrict(String string) {
FILE: src/cmu/arktweetnlp/impl/features/FeatureExtractor.java
class FeatureExtractor (line 18) | public class FeatureExtractor {
method FeatureExtractor (line 26) | public FeatureExtractor(Model model, boolean isTrainingTime) throws IO...
method computeFeatures (line 42) | public void computeFeatures(Sentence linguisticSentence, ModelSentence...
method computeCheatingEdgeFeatures (line 59) | private void computeCheatingEdgeFeatures(Sentence sentence, ModelSente...
method computeObservationFeatures (line 67) | private void computeObservationFeatures(Sentence sentence, ModelSenten...
type FeatureExtractorInterface (line 102) | public interface FeatureExtractorInterface {
method addFeatures (line 112) | public void addFeatures(List<String> tokens, PositionFeaturePairs po...
class PositionFeaturePairs (line 115) | public static class PositionFeaturePairs {
method PositionFeaturePairs (line 120) | public PositionFeaturePairs() {
method add (line 125) | public void add(int labelIndex, String featureID) {
method add (line 128) | public void add(int labelIndex, String featureID, double featureValu...
method size (line 133) | public int size() { return featureNames.size(); }
method initializeFeatureExtractors (line 143) | private void initializeFeatureExtractors() throws IOException {
FILE: src/cmu/arktweetnlp/impl/features/FeatureUtil.java
class FeatureUtil (line 17) | public class FeatureUtil {
method normalize (line 25) | public static ArrayList<String> normalize(List<String> toks){
method normalize (line 37) | public static String normalize(String str) {
method normalizecap (line 51) | public static ArrayList<String> normalizecap(List<String> toks){
method normalizecap (line 60) | public static String normalizecap(String str) {
method fuzztoken (line 77) | public static ArrayList<String> fuzztoken(String tok, boolean apos) {
FILE: src/cmu/arktweetnlp/impl/features/MetaphoneFeatures.java
class MetaphoneFeatures (line 12) | public class MetaphoneFeatures {
method getMetaphone (line 18) | public static Metaphone getMetaphone() {
method getDblMetaphone (line 25) | public static DoubleMetaphone getDblMetaphone() {
method MetaphoneNum (line 32) | private String MetaphoneNum(String str){ //change this eventually
class MetaphoneLexical (line 46) | public static class MetaphoneLexical implements FeatureExtractorInterf...
method addFeatures (line 47) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
FILE: src/cmu/arktweetnlp/impl/features/MiscFeatures.java
class MiscFeatures (line 11) | public class MiscFeatures {
class NextWord (line 13) | public static class NextWord implements FeatureExtractorInterface{
method addFeatures (line 14) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class Next2Words (line 25) | public static class Next2Words implements FeatureExtractorInterface{
method addFeatures (line 26) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class PrevWord (line 39) | public static class PrevWord implements FeatureExtractorInterface{
method addFeatures (line 40) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class Prev2Words (line 52) | public static class Prev2Words implements FeatureExtractorInterface{
method addFeatures (line 53) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class PrevNext (line 64) | public static class PrevNext implements FeatureExtractorInterface{
method addFeatures (line 65) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class CapitalizationFeatures (line 80) | public static class CapitalizationFeatures implements FeatureExtractor...
method addFeatures (line 81) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class SimpleOrthFeatures (line 119) | public static class SimpleOrthFeatures implements FeatureExtractorInte...
method addFeatures (line 125) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class URLFeatures (line 156) | public static class URLFeatures implements FeatureExtractorInterface {
method addFeatures (line 159) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class WordformFeatures (line 171) | public static class WordformFeatures implements FeatureExtractorInterf...
method addFeatures (line 172) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
method Xxdshape (line 183) | private String Xxdshape(String tok) {
method charclassshape (line 187) | private String charclassshape(String tok) {
class NgramPrefix (line 195) | public static class NgramPrefix implements FeatureExtractorInterface {
method NgramPrefix (line 197) | public NgramPrefix(int i) {
method addFeatures (line 200) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class NgramSuffix (line 213) | public static class NgramSuffix implements FeatureExtractorInterface {
method NgramSuffix (line 215) | public NgramSuffix(int i) {
method addFeatures (line 218) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class Positions (line 233) | public static class Positions implements FeatureExtractorInterface {
method addFeatures (line 234) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
FILE: src/cmu/arktweetnlp/impl/features/TagDictionary.java
class TagDictionary (line 9) | public class TagDictionary {
method instance (line 25) | public static TagDictionary instance() {
method loadData (line 29) | static Map<String, List<String>> loadData() throws IOException {
method main (line 58) | public static void main(String args[]) {
FILE: src/cmu/arktweetnlp/impl/features/WordClusterPaths.java
class WordClusterPaths (line 18) | public class WordClusterPaths implements FeatureExtractorInterface {
method WordClusterPaths (line 25) | public WordClusterPaths() throws IOException {
method addFeatures (line 41) | public void addFeatures(List<String> tokens, PositionFeaturePairs pair...
FILE: src/cmu/arktweetnlp/impl/features/WordListFeatures.java
class WordListFeatures (line 15) | public class WordListFeatures {
class POSTagDict (line 17) | public static class POSTagDict implements FeatureExtractorInterface {
method addFeatures (line 20) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class Listofnames (line 59) | public static class Listofnames implements FeatureExtractorInterface {
method Listofnames (line 62) | public Listofnames(String str) throws IOException {
method addFeatures (line 66) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
class MetaphonePOSDict (line 77) | public static class MetaphonePOSDict implements FeatureExtractorInterf...
method addFeatures (line 78) | public void addFeatures(List<String> tokens, PositionFeaturePairs pa...
method initDict (line 96) | private static HashSet<String> initDict(String dict) throws IOException {
FILE: src/cmu/arktweetnlp/io/CoNLLReader.java
class CoNLLReader (line 21) | public class CoNLLReader {
method readFile (line 22) | public static ArrayList<Sentence> readFile(String filename) throws IOE...
method sentenceFromLines (line 48) | private static Sentence sentenceFromLines(List<String> lines) {
FILE: src/cmu/arktweetnlp/io/JsonTweetReader.java
class JsonTweetReader (line 16) | public class JsonTweetReader {
method JsonTweetReader (line 19) | public JsonTweetReader() {
method getText (line 29) | public String getText(String tweetJson) {
method isJson (line 50) | public boolean isJson(String isThisJson) {
FILE: src/cmu/arktweetnlp/util/BasicFileIO.java
class BasicFileIO (line 17) | public class BasicFileIO {
method openFileToRead (line 26) | public static BufferedReader openFileToRead(String file) {
method openFileToReadUTF8 (line 43) | public static BufferedReader openFileToReadUTF8(String file) {
method openFileToWrite (line 61) | public static BufferedWriter openFileToWrite(String file) {
method openFileToWriteUTF8 (line 78) | public static BufferedWriter openFileToWriteUTF8(String file) {
method closeFileAlreadyRead (line 96) | public static void closeFileAlreadyRead(BufferedReader bReader) {
method closeFileAlreadyWritten (line 106) | public static void closeFileAlreadyWritten(BufferedWriter bWriter) {
method getLine (line 116) | public static String getLine(BufferedReader bReader) {
method getLine (line 128) | public static String getLine(JsonParser jParse) {
method writeLine (line 160) | public static void writeLine(BufferedWriter bWriter, String line) {
method writeSerializedObject (line 170) | public static void writeSerializedObject(String file, Object object) {
method readSerializedObject (line 188) | public static Object readSerializedObject(String file) {
method readSerializedObject (line 197) | public static Object readSerializedObject(InputStream iFile) {
method getResourceReader (line 229) | public static BufferedReader getResourceReader(String resourceName) th...
method openFileOrResource (line 242) | public static BufferedReader openFileOrResource(String fileOrResource)...
FILE: src/cmu/arktweetnlp/util/Util.java
class Util (line 9) | public class Util {
method p (line 10) | public static void p(Object x) { System.out.println(x); }
method p (line 11) | public static void p(String[] x) { p(Arrays.toString(x)); }
method p (line 12) | public static void p(double[] x) { p(Arrays.toString(x)); }
method p (line 13) | public static void p(int[] x) { p(Arrays.toString(x)); }
method p (line 14) | public static void p(double[][] x) {
method sp (line 23) | public static String sp(double[] x) {
method p (line 30) | public static void p(String x) { System.out.println(x); }
Copy disabled (too large)
Download .json
Condensed preview — 95 files, each showing path, character count, and a content snippet. Download the .json file for the full structured content (29,047K chars).
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{
"path": "data/twpos-data-v0.3/oct27.splits/oct27.train",
"chars": 110512,
"preview": "I\tO\npredict\tV\nI\tO\nwon't\tV\nwin\tV\na\tD\nsingle\tA\ngame\tN\nI\tO\nbet\tV\non\tP\n.\t,\nGot\tV\nCliff\t^\nLee\t^\ntoday\tN\n,\t,\nso\tP\nif\tP\nhe\tO\nlo"
},
{
"path": "data/twpos-data-v0.3/oct27.splits/oct27.traindev",
"chars": 147401,
"preview": "I\tO\npredict\tV\nI\tO\nwon't\tV\nwin\tV\na\tD\nsingle\tA\ngame\tN\nI\tO\nbet\tV\non\tP\n.\t,\nGot\tV\nCliff\t^\nLee\t^\ntoday\tN\n,\t,\nso\tP\nif\tP\nhe\tO\nlo"
},
{
"path": "data/twpos-data-v0.3/oct27.splits/splits.txt",
"chars": 31732,
"preview": "dev\t28849570224\ndev\t28861691989\ndev\t28913450823\ndev\t28904399881\ndev\t28883465935\ndev\t28937617852\ndev\t28860933400\ndev\t2892"
},
{
"path": "data/twpos-data-v0.3/scripts/toconll.sh",
"chars": 136,
"preview": "# convert 'supertsv' format to simple CoNLL\nawk -F'\\t' -vOFS='\\t' '$1 && NF==2 && $1 !~ /TWEET|INFO|TOKENS/ { print $2,$"
},
{
"path": "data/twpos-data-v0.3-original-tweets/README.txt",
"chars": 461,
"preview": "Brendan O'Connor 2017-07-24\nRetrieving the original tweets for the ARK Twitter POS annotated data \n(which are used in Tw"
},
{
"path": "data/twpos-data-v0.3-original-tweets/daily547.tweets.json.tsv",
"chars": 1297324,
"preview": "21294091501314048\t2011-01-01T19:58:01\t{\"place\":{\"country\":\"United States\",\"country_code\":\"US\",\"place_type\":\"admin\",\"url\""
},
{
"path": "data/twpos-data-v0.3-original-tweets/oct27.tweets.json.tsv",
"chars": 3802340,
"preview": "28841420096\t2010-10-27T00:26:49\t{\"contributors\":null,\"in_reply_to_screen_name\":\"LilBrownD\",\"text\":\"@LilBrownD @kiaspeaks"
},
{
"path": "docs/annot_guidelines.tex",
"chars": 22212,
"preview": "\\documentclass[11pt,letterpaper]{article}\n\\usepackage{annot_guidelines}\n\n\\usepackage{times}\n\\usepackage{latexsym}\n\\usepa"
},
{
"path": "docs/changelog.txt",
"chars": 1215,
"preview": "Changes for the tagger\n\n\nVersion 0.3.1 (2012-10-23)\n\n* Fixed crashing and hanging issues\n\n\nVersion 0.3 (2012-09-21)\n\n* 4"
},
{
"path": "docs/hacking.txt",
"chars": 1628,
"preview": "This requires the source checkout from GitHub,\ne.g. https://github.com/brendano/ark-tweet-nlp\n\n\nTo compile\n==========\n\nT"
},
{
"path": "docs/nathan_notes.md",
"chars": 4384,
"preview": "These notes were taken by Nathan during Daily 547 annotations. Not all final annotation decisions followed the below.\n\n"
},
{
"path": "docs/replicate_naacl2013_evaluation.sh",
"chars": 508,
"preview": "#!/bin/bash\n# These are the commands described in training.txt\n# Training takes <10 minutes\nset -eux\njava -cp ark-tweet-"
},
{
"path": "docs/training.txt",
"chars": 1340,
"preview": "Training the tagger:\nwhere \"myjava\" is, say, \"java -Xmx2g -cp ark-tweet-nlp-0.3.jar\",\n\n myjava cmu.arktweetnlp.Train $t"
},
{
"path": "docs/word_cluster_notes.md",
"chars": 1759,
"preview": "A few details on the data and preprocessing for the word clusters, beyond what's mentioned in the NAACL 2013 paper.\nTobi"
},
{
"path": "examples/README.txt",
"chars": 289,
"preview": "The following commands should all work on the examples.\n\n./runTagger.sh examples/casual.txt\n./runTagger.sh --output-form"
},
{
"path": "examples/bill_nye_tho.txt",
"chars": 2150,
"preview": "247120554400821248\t2012-09-15T23:51:46\tBill_Nye_tho\tall out of wood facts\n247120392324542464\t2012-09-15T23:51:07\tBill_Ny"
},
{
"path": "examples/casual.txt",
"chars": 178,
"preview": "@Cwallll @diddy_dance ikr smh he asked fir yo last name so he can add u on fb lololol\n:o :/ :'( >:o (: :) >.< X"
},
{
"path": "examples/example_tweets.txt",
"chars": 781,
"preview": "I predict I won't win a single game I bet on. Got Cliff Lee today, so if he loses its on me RT @e_one: Texas (cont) http"
},
{
"path": "examples/tagged_tweets_expected.txt",
"chars": 1122,
"preview": "I\tO\npredict\tV\nI\tO\nwon't\tV\nwin\tV\na\tD\nsingle\tA\ngame\tN\nI\tO\nbet\tV\non\tP\n.\t,\nGot\tV\nCliff\t^\nLee\t^\ntoday\tN\n,\t,\nso\tR\nif\tP\nhe\tO\nlo"
},
{
"path": "examples/tweets.jsonline",
"chars": 3897,
"preview": "{\"text\":\"RT @TheyCallMeGriff @SkinniiMini u kno where i stay u want it just knock nigga <> u tryna lose ur life to"
},
{
"path": "lib/metaphone-map2.txt",
"chars": 770185,
"preview": "**MP**BRSKLFLNT\t^\n**MP**JRSTS\tN\n**MP**JKLS\tN\n**MP**PRKRBXF\tA\n**MP**RNFXN\tN\n**MP**HSNKSSTNS\tA\n**MP**ALNTL\t^\n**MP**ILMNSTR"
},
{
"path": "lib/ptb_ordered_metaphone.txt",
"chars": 4105413,
"preview": "**MP**MKBTS\tN\n**MP**LSTKRTN\t^\n**MP**RNWTR\t^\n**MP**ENTLT\tV\n**MP**ENTLS\tA\n**MP**AKTFTS\tN\n**MP**BNKKK\t^\n**MP**ATMNTL\tR\n**MP"
},
{
"path": "pom.xml",
"chars": 595,
"preview": "<project xmlns=\"http://maven.apache.org/POM/4.0.0\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\"\n xsi:sc"
},
{
"path": "runTagger.sh",
"chars": 141,
"preview": "#!/bin/bash\nset -eu\n\n# Run the tagger (and tokenizer).\njava -XX:ParallelGCThreads=2 -Xmx500m -jar $(dirname $0)/ark-twee"
},
{
"path": "scripts/java.sh",
"chars": 1010,
"preview": "#!/bin/bash\n\n# Invoke 'java' for development.\n# Set up the classpath, with all dependency jars, then run 'java' with it\n"
},
{
"path": "scripts/paired_stats.r",
"chars": 3124,
"preview": "#!/usr/bin/env Rscript\n\n# Perform McNemar's test (actually, an exact binomial variant)\n# on two CoNLL-formatted tagging "
},
{
"path": "scripts/prepare_release.sh",
"chars": 625,
"preview": "#!/bin/bash\n\nVERSION=0.3.2\nDIR=release/ark-tweet-nlp-$VERSION\n\nset -eux\n\nrm -rf $DIR $DIR.zip $DIR.tgz\nmkdir -p $DIR\n\nmv"
},
{
"path": "scripts/show.py",
"chars": 268,
"preview": "# Take the pretsv format and make it easier to read\n\nimport sys\nfor line in sys.stdin:\n parts = line.split('\\t')\n "
},
{
"path": "scripts/simple_tests.sh",
"chars": 96,
"preview": "set -eux\n./twokenize.sh examples/example_tweets.txt\n./runTagger.sh examples/example_tweets.txt\n\n"
},
{
"path": "scripts/toconll.py",
"chars": 595,
"preview": "#!/usr/bin/env python\n# Take the pretsv format and make it CoNLL-like (\"supertsv\", having tweet metadata headers)\nimport"
},
{
"path": "src/cmu/arktweetnlp/RunTagger.java",
"chars": 14728,
"preview": "package cmu.arktweetnlp;\n\nimport java.io.FileNotFoundException;\nimport java.io.IOException;\nimport java.io.LineNumberRea"
},
{
"path": "src/cmu/arktweetnlp/Tagger.java",
"chars": 2665,
"preview": "package cmu.arktweetnlp;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.io.InputStreamReader;\ni"
},
{
"path": "src/cmu/arktweetnlp/Train.java",
"chars": 6412,
"preview": "package cmu.arktweetnlp;\n\nimport java.io.IOException;\nimport java.util.ArrayList;\n\nimport cmu.arktweetnlp.impl.Model;\nim"
},
{
"path": "src/cmu/arktweetnlp/Twokenize.java",
"chars": 16464,
"preview": "package cmu.arktweetnlp;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.io.InputStreamReader;\ni"
},
{
"path": "src/cmu/arktweetnlp/impl/Model.java",
"chars": 16403,
"preview": "package cmu.arktweetnlp.impl;\n\nimport java.io.BufferedReader;\nimport java.io.BufferedWriter;\nimport java.io.IOException;"
},
{
"path": "src/cmu/arktweetnlp/impl/ModelSentence.java",
"chars": 1244,
"preview": "package cmu.arktweetnlp.impl;\n\nimport java.util.ArrayList;\nimport java.util.Arrays;\n\nimport edu.stanford.nlp.util.Pair;\n"
},
{
"path": "src/cmu/arktweetnlp/impl/OWLQN.java",
"chars": 19114,
"preview": "package cmu.arktweetnlp.impl;\n\nimport edu.stanford.nlp.math.ArrayMath;\nimport edu.stanford.nlp.optimization.DiffFunction"
},
{
"path": "src/cmu/arktweetnlp/impl/Sentence.java",
"chars": 799,
"preview": "package cmu.arktweetnlp.impl;\n\nimport java.util.ArrayList;\nimport java.util.List;\n\n/**\n * Holds textual and linguistic i"
},
{
"path": "src/cmu/arktweetnlp/impl/Vocabulary.java",
"chars": 1578,
"preview": "package cmu.arktweetnlp.impl;\n\nimport java.util.ArrayList;\nimport java.util.HashMap;\n\nimport edu.berkeley.nlp.util.Strin"
},
{
"path": "src/cmu/arktweetnlp/impl/features/FeatureExtractor.java",
"chars": 6901,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.io.IOException;\nimport java.util.ArrayList;\nimport java.util.List;\ni"
},
{
"path": "src/cmu/arktweetnlp/impl/features/FeatureUtil.java",
"chars": 2780,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.util.ArrayList;\nimport java.util.Arrays;\nimport java.util.List;\nimpo"
},
{
"path": "src/cmu/arktweetnlp/impl/features/MetaphoneFeatures.java",
"chars": 1920,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.util.List;\n\nimport org.apache.commons.codec.language.DoubleMetaphone"
},
{
"path": "src/cmu/arktweetnlp/impl/features/MiscFeatures.java",
"chars": 8973,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.util.ArrayList;\nimport java.util.List;\nimport java.util.regex.Patter"
},
{
"path": "src/cmu/arktweetnlp/impl/features/TagDictionary.java",
"chars": 1856,
"preview": "package cmu.arktweetnlp.impl.features;\nimport java.io.*;\nimport java.util.*;\n\nimport org.apache.commons.codec.language.M"
},
{
"path": "src/cmu/arktweetnlp/impl/features/WordClusterPaths.java",
"chars": 2365,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.util.Hash"
},
{
"path": "src/cmu/arktweetnlp/impl/features/WordListFeatures.java",
"chars": 3693,
"preview": "package cmu.arktweetnlp.impl.features;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.util.Arra"
},
{
"path": "src/cmu/arktweetnlp/impl/package.html",
"chars": 50,
"preview": "<body>\n\nImplementation of the POS tagger.\n\n</body>"
},
{
"path": "src/cmu/arktweetnlp/io/CoNLLReader.java",
"chars": 1540,
"preview": "package cmu.arktweetnlp.io;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.util.ArrayList;\nimpo"
},
{
"path": "src/cmu/arktweetnlp/io/JsonTweetReader.java",
"chars": 1372,
"preview": "package cmu.arktweetnlp.io;\n\nimport java.io.BufferedReader;\nimport java.io.IOException;\nimport java.util.Iterator;\n\nimpo"
},
{
"path": "src/cmu/arktweetnlp/package.html",
"chars": 361,
"preview": "<body>\n<p>\n The top-level of this package contains classes of interest to users of TweetNLP.\n</p>\n\n<ul>\n<li> <b>RunTa"
},
{
"path": "src/cmu/arktweetnlp/util/BasicFileIO.java",
"chars": 8391,
"preview": "package cmu.arktweetnlp.util;\n\nimport java.io.*;\nimport java.nio.charset.Charset;\nimport java.util.logging.Logger;\nimpor"
},
{
"path": "src/cmu/arktweetnlp/util/Util.java",
"chars": 931,
"preview": "package cmu.arktweetnlp.util;\n\nimport java.util.ArrayList;\nimport java.util.Arrays;\n\nimport edu.stanford.nlp.util.String"
},
{
"path": "twokenize.sh",
"chars": 150,
"preview": "#!/bin/bash\n\n# Only run the tokenizer.\n\nset -eu\njava -XX:ParallelGCThreads=2 -Xmx100m -jar $(dirname $0)/ark-tweet-nlp-0"
}
]
// ... and 3 more files (download for full content)
About this extraction
This page contains the full source code of the brendano/ark-tweet-nlp GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 95 files (24.3 MB), approximately 6.4M tokens, and a symbol index with 240 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.