smile.nlp.tokenizer.SimpleTokenizer Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2010-2020 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser 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 Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Smile. If not, see .
******************************************************************************/
package smile.nlp.tokenizer;
import java.util.ArrayList;
import java.util.regex.Pattern;
/**
* A word tokenizer that tokenizes English sentences with some differences from
* TreebankWordTokenizer, notably on handling not-contractions. If a period
* serves as both the end of sentence and a part of abbreviation, e.g. etc. at
* the end of sentence, it will generate tokens of "etc." and "." while
* TreebankWordTokenizer will generate "etc" and ".".
*
* Most punctuation is split from adjoining words. Verb contractions and the
* Anglo-Saxon genitive of nouns are split into their component morphemes,
* and each morpheme is tagged separately. Examples
*
* - children's -> children 's
*
- parents' -> parents '
*
- won't -> will not
*
- can't -> can not
*
- shan't -> shall not
*
- cannot -> can not
*
- weren't -> were not
*
- 'tisn't -> it is not
*
- 'tis -> it is
*
- gonna -> gon na
*
- I'm -> I 'm
*
- he'll -> he 'll
*
* This tokenizer assumes that the text has already been segmented into
* sentences. Any periods -- apart from those at the end of a string or before
* newline -- are assumed to be part of the word they are attached to (e.g. for
* abbreviations, etc), and are not separately tokenized.
*
* @author Haifeng Li
*/
public class SimpleTokenizer implements Tokenizer {
private static final Pattern WONT_CONTRACTION = Pattern.compile("(?i)\\b(w)(on't)\\b");
private static final Pattern SHANT_CONTRACTION = Pattern.compile("(?i)\\b(sha)(n't)\\b");
private static final Pattern AINT_CONTRACTION = Pattern.compile("(?i)\\b(a)(in't)\\b");
private static final Pattern[] NOT_CONTRACTIONS = {
Pattern.compile("(?i)\\b(can)('t|not)\\b"),
Pattern.compile("(?i)(.)(n't)\\b")
};
/**
* List of contractions adapted from Robert MacIntyre's tokenizer.
*/
private static final Pattern[] CONTRACTIONS2 = {
Pattern.compile("(?i)(.)('ll|'re|'ve|'s|'m|'d)\\b"),
Pattern.compile("(?i)\\b(D)('ye)\\b"),
Pattern.compile("(?i)\\b(Gim)(me)\\b"),
Pattern.compile("(?i)\\b(Gon)(na)\\b"),
Pattern.compile("(?i)\\b(Got)(ta)\\b"),
Pattern.compile("(?i)\\b(Lem)(me)\\b"),
Pattern.compile("(?i)\\b(Mor)('n)\\b"),
Pattern.compile("(?i)\\b(T)(is)\\b"),
Pattern.compile("(?i)\\b(T)(was)\\b"),
Pattern.compile("(?i)\\b(Wan)(na)\\b")
};
private static final Pattern[] CONTRACTIONS3 = {
Pattern.compile("(?i)\\b(Whad)(dd)(ya)\\b"),
Pattern.compile("(?i)\\b(Wha)(t)(cha)\\b")
};
private static final Pattern[] DELIMITERS = {
// Separate most punctuation
Pattern.compile("((?U)[^\\w\\.\\'\\-\\/,&])"),
// Separate commas if they're followed by space (e.g., don't separate 2,500)
Pattern.compile("(?U)(,\\s)"),
// Separate single quotes if they're followed by a space.
Pattern.compile("(?U)('\\s)"),
// Separate periods that come before newline or end of string.
Pattern.compile("(?U)\\. *(\\n|$)"),
// Separate continuous periods such as ... in ToC.
Pattern.compile("(?U)(\\.{3,})")
};
private static final Pattern WHITESPACE = Pattern.compile("(?U)\\s+");
private boolean splitContraction;
/**
* Constructor.
*/
public SimpleTokenizer() {
this(false);
}
/**
* Constructor.
* @param splitContraction if true, split adjoining words.
*/
public SimpleTokenizer(boolean splitContraction) {
this.splitContraction = splitContraction;
}
@Override
public String[] split(String text) {
if (splitContraction) {
text = WONT_CONTRACTION.matcher(text).replaceAll("$1ill not");
text = SHANT_CONTRACTION.matcher(text).replaceAll("$1ll not");
text = AINT_CONTRACTION.matcher(text).replaceAll("$1m not");
for (Pattern regexp : NOT_CONTRACTIONS) {
text = regexp.matcher(text).replaceAll("$1 not");
}
for (Pattern regexp : CONTRACTIONS2) {
text = regexp.matcher(text).replaceAll("$1 $2");
}
for (Pattern regexp : CONTRACTIONS3) {
text = regexp.matcher(text).replaceAll("$1 $2 $3");
}
}
text = DELIMITERS[0].matcher(text).replaceAll(" $1 ");
text = DELIMITERS[1].matcher(text).replaceAll(" $1");
text = DELIMITERS[2].matcher(text).replaceAll(" $1");
text = DELIMITERS[3].matcher(text).replaceAll(" . ");
text = DELIMITERS[4].matcher(text).replaceAll(" $1 ");
String[] words = WHITESPACE.split(text);
if (words.length > 1 && words[words.length-1].equals(".")) {
if (EnglishAbbreviations.contains(words[words.length-2])) {
words[words.length-2] = words[words.length-2] + ".";
}
}
ArrayList result = new ArrayList<>();
for (String token : words) {
if (!token.isEmpty()) {
result.add(token);
}
}
return result.toArray(new String[result.size()]);
}
}