OPENNLP-912: Rule based sentence detector #390

Alanscut · 2021-01-28T10:38:43Z

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Alanscut · 2021-02-04T01:06:07Z

Somehow the Travis CI always timed out here, but succeeded in my fork repo: https://travis-ci.org/github/Alanscut/opennlp/builds/757336242

jzonthemtn · 2021-02-07T14:04:30Z

Thanks a lot for this contribution! This is something OpenNLP has needed. I will take a closer look.

Built and tested successfully.

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jzonthemtn · 2022-03-28T14:30:43Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizer.java

+/**
+ * The interface for rule based sentence detector
+ */
+public interface SentenceTokenizer {


There is an opennlp.tools.sentdetect.SentenceDetector interface that resembles this interface. Since the purpose of the two interfaces seem the same (to break text into sentences), is it possible to reuse the other interface?

+1 (and the method would require a proper description). It is totally unclear what the provided method does/shall do from an implementor perspective.

jzonthemtn · 2022-03-28T14:33:07Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizerME.java

+import opennlp.tools.util.StringUtil;
+
+
+public class SentenceTokenizerME implements SentenceTokenizer {


The ME name in the file names denotes "maximum entropy" as the method for the implementation. Since this implementation doesn't use a trained model, could it be named something like RulesBasedSentenceDetector? (Open to other names, too.)

+1 to @jzonthemtn comment

jzonthemtn · 2022-03-28T14:40:29Z

opennlp-tools/src/main/resources/opennlp/tools/sentdetect/segment/rules.xml

@@ -0,0 +1,131 @@
+<?xml version="1.0" encoding="UTF-8"?>


What is the origin of these rules?

How did you generate this xml file? It does not seem to originate from [the](https:/diasks2/pragmatic_segmenter

jzonthemtn · 2022-03-28T14:41:28Z

I would like to better understand the origins of the rules used. Does there need to be license attribution?

rzo1 · 2023-11-29T07:42:38Z

I would like to better understand the origins of the rules used. Does there need to be license attribution?

@jzonthemtn Looks these "golden-rules.txt" is from https:/diasks2/pragmatic_segmenter#the-golden-rules (at least, if we trust the textual description). Also in some other languages: https://s3.amazonaws.com/tm-town-nlp-resources/golden_rules.txt - the library itself with the content is MIT, so no compliance issue but we would need to attribute it accordingly.

rzo1 · 2023-11-29T07:43:22Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/Clean.java

+
+package opennlp.tools.sentdetect.segment;
+
+public class Clean {


Can be a Record ?

rzo1 · 2023-11-29T07:44:11Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizerME.java

+import opennlp.tools.util.StringUtil;
+
+
+public class SentenceTokenizerME implements SentenceTokenizer {


+1 to @jzonthemtn comment

rzo1 · 2023-11-29T07:44:22Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizerME.java

+
+ private Matcher afterMatcher;
+
+ boolean found;


Should be private.

rzo1 · 2023-11-29T07:51:21Z

opennlp-tools/src/main/resources/opennlp/tools/sentdetect/segment/rules.xml

@@ -0,0 +1,131 @@
+<?xml version="1.0" encoding="UTF-8"?>


How did you generate this xml file? It does not seem to originate from [the](https:/diasks2/pragmatic_segmenter

rzo1 · 2023-11-29T07:54:31Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/Clean.java

+
+public class Clean {
+
+ String regex;


Might be worth to use a Pattern here to avoid compiling the regex in every replaceAll(...) call.

rzo1 · 2023-11-29T08:06:41Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/Section.java

+
+public class Section {
+
+ int left;


these should be private

rzo1 · 2023-11-29T08:07:34Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizer.java

+/**
+ * The interface for rule based sentence detector
+ */
+public interface SentenceTokenizer {


+1 (and the method would require a proper description). It is totally unclear what the provided method does/shall do from an implementor perspective.

rzo1 · 2023-11-29T08:08:45Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizerME.java

+
+ private List<Section> noBreakSections;
+
+ public SentenceTokenizerME(LanguageTool languageTool, CharSequence text) {


I wonder if we can rebuild this to avoid creating a Tokenizer for every piece of text? Wouldn't it be of more value to provide the text as a method parameter and compute the stuff on the fly? It would also allow us to make it threadsafe in the future.

rzo1 · 2023-11-29T08:09:24Z

opennlp-tools/src/main/java/opennlp/tools/sentdetect/segment/SentenceTokenizerME.java

+ start += count;
+ }
+ } catch (IOException e) {
+ e.printStackTrace();


We shouldn*t just print the stack trace: Either rethrow as runtime exception or at least log it.

rzo1 · 2023-11-29T08:11:24Z

opennlp-tools/src/test/java/opennlp/tools/sentdetect/segment/GoldenRulesTest.java

+ text = cleaner.clean(text);
+ }
+
+ InputStream inputStream = getClass().getResourceAsStream(


we should close the stream + read it once and consume the cached result for every test run.

Alanscut force-pushed the segment branch from 238554d to 01420d7 Compare February 1, 2021 02:54

jzonthemtn reviewed Mar 28, 2022

View reviewed changes

Alanscut and others added 3 commits November 29, 2023 08:46

OPENNLP-912: Rules based sentence detector

a6a68d5

OPENNLP-912: Move rules into rules.xml

49f51ef

Rebase with origin/main, fix JUnit 5 migration errors

342a025

rzo1 force-pushed the segment branch from ae25942 to 342a025 Compare November 29, 2023 08:03

rzo1 requested changes Nov 29, 2023

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OPENNLP-912: Rule based sentence detector #390

OPENNLP-912: Rule based sentence detector #390

Alanscut commented Jan 28, 2021 •

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jzonthemtn commented Feb 7, 2021

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		import opennlp.tools.util.StringUtil;


		public class SentenceTokenizerME implements SentenceTokenizer {


		package opennlp.tools.sentdetect.segment;

		public class Clean {


		private List<Section> noBreakSections;

		public SentenceTokenizerME(LanguageTool languageTool, CharSequence text) {

OPENNLP-912: Rule based sentence detector #390

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OPENNLP-912: Rule based sentence detector #390

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Alanscut commented Jan 28, 2021 • edited Loading

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Alanscut commented Jan 28, 2021 •

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