smile.nlp.tokenizer.EnglishAbbreviations Maven / Gradle / Ivy
/*
* Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Smile is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with Smile. If not, see .
*/
package smile.nlp.tokenizer;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.Collections;
import java.util.Iterator;
import java.util.Set;
import java.util.stream.Collectors;
/**
* A concise dictionary of common abbreviations (e.g. Mr., Mrs., etc.) in English.
* Useful in sentence splitter and word tokenizer.
*
* @author Haifeng Li
*/
interface EnglishAbbreviations {
/**
* A list of abbreviations.
*/
Set dictionary = dictionary();
static Set dictionary() {
try (BufferedReader input = new BufferedReader(new InputStreamReader(EnglishAbbreviations.class.getResourceAsStream("/smile/nlp/tokenizer/abbreviations_en.txt")))) {
return input.lines().map(String::trim).filter(line -> !line.isEmpty()).collect(Collectors.toSet());
} catch (IOException ex) {
ex.printStackTrace();
}
return Collections.emptySet();
}
/**
* Returns true if this abbreviation dictionary contains the specified element.
*/
static boolean contains(String s) {
return dictionary.contains(s);
}
/**
* Returns the number of elements in this abbreviation dictionary.
*/
static int size() {
return dictionary.size();
}
/**
* Returns an iterator over the elements in this abbreviation dictionary.
*/
static Iterator iterator() {
return dictionary.iterator();
}
}