NLP4J [002] Try parsing Japanese using Yahoo! Developer Network Japanese Parsing Analysis (V1) in Java

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■ Addition

Yahoo! Parsing API V1 has ended, so this article is for reference only. For more information [Important] Notice of Japanese dependency analysis API specification change in text analysis Web API --Yahoo! Developer Network https://developer.yahoo.co.jp/changelog/web_apiapi.html Please refer to the.

Let's try Japanese parsing (dependency analysis) in Java using NLP4J.

From the text "The car suddenly stopped" when the parsing was possible ・ "The car stopped →" ・ "Suddenly → stopped" You can extract information such as.

Maven

<dependency>
  <groupId>org.nlp4j</groupId>
  <artifactId>nlp4j</artifactId>
  <version>1.0.0.0</version>
</dependency>

Code1

import nlp4j.Keyword;
import nlp4j.KeywordWithDependency;
import nlp4j.impl.DefaultNlpServiceResponse;
import nlp4j.yhoo_jp.YJpDaService;
public class HelloNLP4JDA {
		//Natural text
		String text = "The car stopped suddenly.";
		//Dependency analysis
		YJpDaService service = new YJpDaService();
		//Get the results of the dependency analysis
		DefaultNlpServiceResponse response = service.process(text);
		for (Keyword kwd : response.getKeywords()) {
			if (kwd instanceof KeywordWithDependency) {
				//Output the result of dependency analysis
				System.err.println(((KeywordWithDependency) kwd).toStringAsDependencyTree());
			}
		}
}

Output1 You can output like this. It's easy!

-sequence=6,lex=null,str=。
	-sequence=5,lex=null,str=Ta
		-sequence=4,lex=null,str=Stopped
			-sequence=2,lex=null,str=But
				-sequence=1,lex=null,str=car
			-sequence=3,lex=null,str=suddenly

Code2 You can examine detailed results by manipulating the keyword object.

	public static void main(String[] args) throws Exception {
		//Natural text
		String text = "The car stopped suddenly.";
		//Dependency analysis
		YJpDaService service = new YJpDaService();
		//Get the results of the dependency analysis
		DefaultNlpServiceResponse response = service.process(text);
		for (Keyword kwd : response.getKeywords()) {
			if (kwd instanceof KeywordWithDependency) {
				//Output the result of dependency analysis
				print((KeywordWithDependency) kwd, 0);
			}
		}
	}

	static void print(KeywordWithDependency kwd, int depth) {
		System.err.println(depth + ":" + kwd.getStr());
		for (KeywordWithDependency kwd2 : kwd.getChildren()) {
			print(kwd2, depth + 1);
		}
	}

Output2

0:。
1:Ta
2:Stopped
3:But
4:car
3:suddenly

It's easy!

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Introduction of NLP4J-[000] Natural Language Processing Index in Java

Project URL

https://www.nlp4j.org/