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417 lines
14 KiB
C++
417 lines
14 KiB
C++
#include <gtest/gtest.h>
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#include "tokenizer.h"
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#include "logger.h"
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TEST(TokenizerTest, ShouldTokenizeNormalizeDifferentStrings) {
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const std::string withaccent = "Mise T.J. à jour Timy depuis PC";
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std::vector<std::string> tokens;
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Tokenizer(withaccent, true, false).tokenize(tokens);
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std::vector<std::string> withaccent_tokens = {"mise", "tj", "a", "jour", "timy", "depuis", "pc"};
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ASSERT_EQ(withaccent_tokens.size(), tokens.size());
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for(size_t i = 0; i < withaccent_tokens.size(); i++) {
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ASSERT_EQ(withaccent_tokens[i], tokens[i]);
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}
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const std::string withnewline = "Michael Jordan:\nWelcome, everybody. Welcome! ";
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tokens.clear();
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Tokenizer(withnewline, true, false).tokenize(tokens);
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ASSERT_EQ(5, tokens.size());
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ASSERT_STREQ("michael", tokens[0].c_str());
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ASSERT_STREQ("jordan", tokens[1].c_str());
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ASSERT_STREQ("welcome", tokens[2].c_str());
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ASSERT_STREQ("everybody", tokens[3].c_str());
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ASSERT_STREQ("welcome", tokens[4].c_str());
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const std::string withspaces = " Michael Jordan ";
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tokens.clear();
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Tokenizer(withspaces, true, false).tokenize(tokens);
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ASSERT_EQ(2, tokens.size());
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ASSERT_STREQ("michael", tokens[0].c_str());
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ASSERT_STREQ("jordan", tokens[1].c_str());
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// single token
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const std::string single_token = "foobar";
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tokens.clear();
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Tokenizer(single_token, false, false).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("foobar", tokens[0].c_str());
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// split tokens
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const std::string split_tokens = "foo-bar-baz";
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tokens.clear();
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Tokenizer(split_tokens, false, false).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("foobarbaz", tokens[0].c_str());
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tokens.clear();
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Tokenizer(split_tokens, true, false).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("foobarbaz", tokens[0].c_str());
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// multiple spaces
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const std::string multispace_tokens = "foo bar";
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tokens.clear();
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Tokenizer(multispace_tokens, false, false).tokenize(tokens);
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ASSERT_EQ(2, tokens.size());
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ASSERT_STREQ("foo", tokens[0].c_str());
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ASSERT_STREQ("bar", tokens[1].c_str());
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// special chars
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const std::string specialchar_tokens = "https://www.amazon.com/s?k=phone&ref=nb_sb_noss_2";
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tokens.clear();
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Tokenizer(specialchar_tokens, false, false).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("httpswwwamazoncomskphonerefnbsbnoss2", tokens[0].c_str());
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// noop
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tokens.clear();
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const std::string withspecialchars = "Special ½¥ and தமிழ் 你好吗 abcÅà123ß12 here.";
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Tokenizer(withspecialchars, true, true).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ(withspecialchars.c_str(), tokens[0].c_str());
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}
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TEST(TokenizerTest, ShouldTokenizeNormalizeUnicodeStrings) {
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std::vector<std::string> tokens;
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const std::string withspecialchars = "Special ½¥ and -thenதமிழ், 你2好吗 abcÅà123ß12 verläßlich here.";
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tokens.clear();
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Tokenizer(withspecialchars, true, false).tokenize(tokens);
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ASSERT_EQ(8, tokens.size());
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ASSERT_STREQ("special", tokens[0].c_str());
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ASSERT_STREQ("12yen", tokens[1].c_str());
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ASSERT_STREQ("and", tokens[2].c_str());
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ASSERT_STREQ("thenதமிழ்", tokens[3].c_str());
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ASSERT_STREQ("你2好吗", tokens[4].c_str());
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ASSERT_STREQ("abcaa123ss12", tokens[5].c_str());
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ASSERT_STREQ("verlasslich", tokens[6].c_str());
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ASSERT_STREQ("here", tokens[7].c_str());
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// when normalization is disabled
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const std::string withoutnormalize = "Mise à, jour.";
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tokens.clear();
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Tokenizer(withoutnormalize, false, false).tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_STREQ("Mise", tokens[0].c_str());
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ASSERT_STREQ("à", tokens[1].c_str());
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ASSERT_STREQ("jour", tokens[2].c_str());
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// single accented word tokenization
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std::string singleword = "à";
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tokens.clear();
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Tokenizer(singleword, true, false).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("a", tokens[0].c_str());
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}
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TEST(TokenizerTest, ShouldTokenizeIteratively) {
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const std::string withnewline = "Michael Jordan:\n\nWelcome, everybody. Welcome!";
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std::vector<std::string> tokens;
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Tokenizer tokenizer1(withnewline, true, false);
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std::string token;
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size_t token_index;
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while(tokenizer1.next(token, token_index)) {
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tokens.push_back(token);
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}
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ASSERT_EQ(5, tokens.size());
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ASSERT_STREQ("michael", tokens[0].c_str());
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ASSERT_STREQ("jordan", tokens[1].c_str());
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ASSERT_STREQ("welcome", tokens[2].c_str());
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ASSERT_STREQ("everybody", tokens[3].c_str());
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ASSERT_STREQ("welcome", tokens[4].c_str());
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// check for index when token_separators are not kept
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Tokenizer tokenizer2(withnewline, true, false);
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size_t expected_token_index = 0;
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std::vector<std::string> expected_tokens = {"michael", "jordan", "welcome", "everybody", "welcome"};
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while(tokenizer2.next(token, token_index)) {
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ASSERT_EQ(expected_token_index, token_index);
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ASSERT_EQ(expected_tokens[expected_token_index], token);
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expected_token_index++;
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}
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// verbatim (no_op=true)
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tokens.clear();
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Tokenizer tokenizer3(withnewline, false, true);
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while(tokenizer3.next(token, token_index)) {
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tokens.push_back(token);
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}
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ASSERT_EQ(1, tokens.size());
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ASSERT_STREQ("Michael Jordan:\n\nWelcome, everybody. Welcome!", tokens[0].c_str());
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}
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TEST(TokenizerTest, ShouldTokenizeTextWithCustomSpecialChars) {
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std::vector<std::string> tokens;
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Tokenizer("and -some -more", true, false, "en", {'-'}).tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("and", tokens[0]);
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ASSERT_EQ("-some", tokens[1]);
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ASSERT_EQ("-more", tokens[2]);
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}
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TEST(TokenizerTest, ShouldTokenizeChineseText) {
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std::vector<std::string> tokens;
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// traditional -> simplified
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Tokenizer("語", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_EQ("语", tokens[0]);
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tokens.clear();
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Tokenizer("說", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_EQ("说", tokens[0]);
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// tokenize traditional
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tokens.clear();
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Tokenizer("愛並不會因時間而", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(6, tokens.size());
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ASSERT_EQ("爱", tokens[0]);
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ASSERT_EQ("并不", tokens[1]);
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ASSERT_EQ("会", tokens[2]);
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ASSERT_EQ("因", tokens[3]);
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ASSERT_EQ("时间", tokens[4]);
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ASSERT_EQ("而", tokens[5]);
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// tokenize simplified
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tokens.clear();
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Tokenizer("爱并不会因时间而", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(6, tokens.size());
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ASSERT_EQ("爱", tokens[0]);
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ASSERT_EQ("并不", tokens[1]);
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ASSERT_EQ("会", tokens[2]);
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ASSERT_EQ("因", tokens[3]);
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ASSERT_EQ("时间", tokens[4]);
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ASSERT_EQ("而", tokens[5]);
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// with token_separators
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tokens.clear();
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Tokenizer("很久以前，傳說在臺中北屯的一個地方", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(10, tokens.size());
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ASSERT_EQ("很久", tokens[0]);
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ASSERT_EQ("以前", tokens[1]);
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ASSERT_EQ("传说", tokens[2]);
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ASSERT_EQ("在", tokens[3]);
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ASSERT_EQ("台中", tokens[4]);
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ASSERT_EQ("北", tokens[5]);
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ASSERT_EQ("屯", tokens[6]);
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ASSERT_EQ("的", tokens[7]);
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ASSERT_EQ("一个", tokens[8]);
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ASSERT_EQ("地方", tokens[9]);
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tokens.clear();
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Tokenizer("朵雲──海", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("朵", tokens[0]);
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ASSERT_EQ("云", tokens[1]);
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ASSERT_EQ("海", tokens[2]);
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tokens.clear();
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Tokenizer("山丘上。媽媽", false, false, "zh").tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("山丘", tokens[0]);
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ASSERT_EQ("上", tokens[1]);
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ASSERT_EQ("妈妈", tokens[2]);
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}
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TEST(TokenizerTest, ShouldTokenizeLocaleText) {
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std::vector<std::string> tokens;
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tokens.clear();
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std::string str = "ความเหลื่อมล้ำ";
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Tokenizer(str, true, false, "th").tokenize(tokens);
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//ASSERT_EQ(2, tokens.size());
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tokens.clear();
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str = "เหลื่";
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Tokenizer(str, false, false, "th").tokenize(tokens);
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//ASSERT_EQ(1, tokens.size());
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tokens.clear();
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str = "จิ้งจอกสีน้ำตาลด่วน";
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Tokenizer(str, true, false, "th").tokenize(tokens);
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ASSERT_EQ(4, tokens.size());
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ASSERT_EQ("จิ้งจอก", tokens[0]);
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ASSERT_EQ("สี", tokens[1]);
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ASSERT_EQ("น้ําตาล", tokens[2]);
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ASSERT_EQ("ด่วน", tokens[3]);
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tokens.clear();
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str = "น. วันที่ 31 มี.ค.";
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Tokenizer(str, false, false, "th").tokenize(tokens);
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ASSERT_EQ(5, tokens.size());
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ASSERT_EQ("น", tokens[0]);
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ASSERT_EQ("วัน", tokens[1]);
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ASSERT_EQ("ที่", tokens[2]);
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ASSERT_EQ("31", tokens[3]);
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ASSERT_EQ("มีค", tokens[4]);
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tokens.clear();
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str = "12345_678";
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Tokenizer(str, false, false, "th").tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_EQ("12345678", tokens[0]);
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tokens.clear();
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Tokenizer("Odd Thomas", false, false, "en").tokenize(tokens);
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ASSERT_EQ(2, tokens.size());
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ASSERT_EQ("Odd", tokens[0]);
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ASSERT_EQ("Thomas", tokens[1]);
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// korean
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tokens.clear();
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Tokenizer("경승지·산악·협곡", false, false, "ko").tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("경승지", tokens[0]);
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ASSERT_EQ("산악", tokens[1]);
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ASSERT_EQ("협곡", tokens[2]);
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tokens.clear();
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Tokenizer("안녕은하철도999극장판", false, false, "ko").tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("안녕은하철도", tokens[0]);
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ASSERT_EQ("999", tokens[1]);
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ASSERT_EQ("극장판", tokens[2]);
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// japanese
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tokens.clear();
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Tokenizer("退屈", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(2, tokens.size());
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ASSERT_EQ("た", tokens[0]);
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ASSERT_EQ("いくつ", tokens[1]);
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tokens.clear();
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Tokenizer("魈", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(0, tokens.size());
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tokens.clear();
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Tokenizer("「業果材", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(6, tokens.size());
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tokens.clear();
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Tokenizer("ア退屈であ", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(5, tokens.size());
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ASSERT_EQ("あ", tokens[0]);
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ASSERT_EQ("た", tokens[1]);
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ASSERT_EQ("いくつ", tokens[2]);
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ASSERT_EQ("で", tokens[3]);
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ASSERT_EQ("あ", tokens[4]);
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tokens.clear();
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Tokenizer("怠惰な犬", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(4, tokens.size());
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ASSERT_EQ("たい", tokens[0]);
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ASSERT_EQ("だ", tokens[1]);
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ASSERT_EQ("な", tokens[2]);
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ASSERT_EQ("いぬ", tokens[3]);
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tokens.clear();
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Tokenizer("今ぶり拍治ルツ", true, false, "ja").tokenize(tokens);
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ASSERT_EQ(9, tokens.size());
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ASSERT_EQ("いま", tokens[0]);
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ASSERT_EQ("ぶり", tokens[1]);
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ASSERT_EQ("は", tokens[2]);
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ASSERT_EQ("く", tokens[3]);
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ASSERT_EQ("お", tokens[4]);
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ASSERT_EQ("さ", tokens[5]);
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ASSERT_EQ("む", tokens[6]);
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ASSERT_EQ("る", tokens[7]);
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ASSERT_EQ("つ", tokens[8]);
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tokens.clear(); // 配管
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Tokenizer("配管", true, false, "ja").tokenize(tokens);
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// persian containing zwnj
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tokens.clear();
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Tokenizer("روان\u200Cشناسی", false, false, "fa").tokenize(tokens);
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ASSERT_EQ(2, tokens.size());
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}
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TEST(TokenizerTest, ShouldTokenizeLocaleTextWithEnglishText) {
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std::string tstr = "ผู้เขียนมีความสนใจเกี่ยวกับ Discrete Math และการคำนวณโดยทั่วไป";
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std::vector<std::string> ttokens;
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Tokenizer(tstr, true, false, "th").tokenize(ttokens);
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ASSERT_EQ(14, ttokens.size());
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ASSERT_EQ("discrete", ttokens[7]);
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ASSERT_EQ("math", ttokens[8]);
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}
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TEST(TokenizerTest, ShouldRemoveGenericPunctuationFromThaiText) {
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std::string tstr = "f’’b";
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std::vector<std::string> ttokens;
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Tokenizer(tstr, true, false, "th").tokenize(ttokens);
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ASSERT_EQ(2, ttokens.size());
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ASSERT_EQ("f", ttokens[0]);
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ASSERT_EQ("b", ttokens[1]);
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ttokens.clear();
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tstr = "Lay’s";
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Tokenizer(tstr, true, false, "th").tokenize(ttokens);
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ASSERT_EQ(1, ttokens.size());
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ASSERT_EQ("lays", ttokens[0]);
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}
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TEST(TokenizerTest, ShouldTokenizeLocaleTextWithSwedishText) {
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std::string tstr = "södra";
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std::vector<std::string> ttokens;
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Tokenizer(tstr, true, false, "sv").tokenize(ttokens);
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ASSERT_EQ(1, ttokens.size());
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ASSERT_EQ("södra", ttokens[0]);
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tstr = "Ängelholm";
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ttokens.clear();
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Tokenizer(tstr, true, false, "sv").tokenize(ttokens);
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ASSERT_EQ(1, ttokens.size());
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ASSERT_EQ("ängelholm", ttokens[0]);
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tstr = "Ängelholm";
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ttokens.clear();
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Tokenizer(tstr, true, false, "").tokenize(ttokens);
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ASSERT_EQ(1, ttokens.size());
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ASSERT_EQ("angelholm", ttokens[0]);
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}
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TEST(TokenizerTest, ShouldTokenizeWithDifferentSymbolConfigs) {
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std::string str1 = "ความ-เหลื่อมล้ำ";
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// '-' in symbols_to_index: "ความ", "-", "เหลื่อม", "ล้ำ"
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// '-' in separators: "ความ", "เหลื่อม", "ล้ำ"
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// 'none: "ความ", "เหลื่อม", "ล้ำ"
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std::vector<std::string> tokens;
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Tokenizer(str1, true, false, "th", {'-'}, {}).tokenize(tokens);
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ASSERT_EQ(4, tokens.size());
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ASSERT_EQ("ความ", tokens[0]);
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ASSERT_EQ("-", tokens[1]);
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ASSERT_EQ("เหลื่อม", tokens[2]);
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ASSERT_EQ("ล้ํา", tokens[3]);
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tokens.clear();
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Tokenizer(str1, true, false, "th", {}, {'-'}).tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("ความ", tokens[0]);
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ASSERT_EQ("เหลื่อม", tokens[1]);
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ASSERT_EQ("ล้ํา", tokens[2]);
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tokens.clear();
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Tokenizer(str1, true, false, "th", {}, {}).tokenize(tokens);
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ASSERT_EQ(3, tokens.size());
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ASSERT_EQ("ความ", tokens[0]);
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ASSERT_EQ("เหลื่อม", tokens[1]);
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ASSERT_EQ("ล้ํา", tokens[2]);
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tokens.clear();
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Tokenizer("ความ_เห", true, false, "th", {}, {}).tokenize(tokens);
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ASSERT_EQ(1, tokens.size());
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ASSERT_EQ("ความเห", tokens[0]);
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}
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