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synced 2025-05-19 13:12:22 +08:00
Fix edge cases in Japanese tokenization.
Address bad unicode + highlighting.
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b2c95d84c6
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@ -168,7 +168,7 @@ new_git_repository(
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new_git_repository(
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name = "kakasi",
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build_file = "//bazel:kakasi.BUILD",
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commit = "9e0825a02c7ea5605e968f6208f769f7c49d6860",
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commit = "77f2d1ce0146d15199ae0db1e61e0b699b0b55f6",
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remote = "https://github.com/typesense/kakasi.git",
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)
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@ -2735,7 +2735,8 @@ void Collection::highlight_result(const std::string& raw_query, const field &sea
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tsl::htrie_set<char> matched_tokens;
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bool use_word_tokenizer = search_field.locale == "th" || Tokenizer::is_cyrillic(search_field.locale);
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bool use_word_tokenizer = search_field.locale == "th" || search_field.locale == "ja" ||
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Tokenizer::is_cyrillic(search_field.locale);
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bool normalise = !use_word_tokenizer;
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std::vector<std::string> raw_query_tokens;
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@ -60,8 +60,12 @@ void Tokenizer::init(const std::string& input) {
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}
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else if(locale == "ja") {
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normalized_text = JapaneseLocalizer::get_instance().normalize(input);
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text = normalized_text;
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if(normalize) {
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normalized_text = JapaneseLocalizer::get_instance().normalize(input);
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text = normalized_text;
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} else {
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text = input;
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}
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} else if(is_cyrillic(locale)) {
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// init transliterator but will only transliterate during tokenization
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UErrorCode translit_status = U_ZERO_ERROR;
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@ -133,6 +137,10 @@ bool Tokenizer::next(std::string &token, size_t& token_index, size_t& start_inde
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} else {
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LOG(ERROR) << "Unicode error during parsing: " << errcode;
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}
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} else if(normalize && locale == "ja") {
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auto raw_text = unicode_text.tempSubStringBetween(start_pos, end_pos);
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raw_text.toUTF8String(word);
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JapaneseLocalizer::get_instance().normalize(word);
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} else {
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unicode_text.tempSubStringBetween(start_pos, end_pos).toUTF8String(word);
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}
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@ -774,6 +774,27 @@ TEST_F(CollectionLocaleTest, SearchOnCyrillicLargeText) {
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results["hits"][0]["highlights"][0]["snippet"].get<std::string>().c_str());
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}
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TEST_F(CollectionLocaleTest, SearchOnJapaneseLargeText) {
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std::vector<field> fields = {field("title", field_types::STRING, true, false, true, "ja"),};
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Collection* coll1 = collectionManager.create_collection("coll1", 1, fields).get();
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nlohmann::json doc;
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doc["title"] = "王獣を倒すと入手した折れた角。追放された後、この世に存在すべきではないもの。\n獣域ウルブズの中で帝王と呼ばれていても、"
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"魔獣たちの系譜では、その兄たちの万分の一にも満たないだろう。\n「黄"
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"金」が無数の獣域ウルブズを捨て紙のように圧縮して偶然にできた異形の魔獣。その角には、黒いウルブズを命じて自分のため"
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"に空間を溶かす権威が秘めている。";
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ASSERT_TRUE(coll1->add(doc.dump()).ok());
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auto results = coll1->search("王獣を", {"title"}, "", {}, {}, {0}, 10, 1, FREQUENCY, {false}).get();
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ASSERT_STREQ("<mark>王</mark><mark>獣</mark><mark>を</mark><mark>倒す</mark>と入手した折",
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results["hits"][0]["highlights"][0]["snippet"].get<std::string>().c_str());
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results = coll1->search("業果材", {"title"}, "", {}, {}, {0}, 10, 1, FREQUENCY, {false}).get();
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ASSERT_STREQ("に空間を溶かす<mark>権威</mark><mark>が</mark><mark>秘</mark>めている。",
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results["hits"][0]["highlights"][0]["snippet"].get<std::string>().c_str());
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}
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TEST_F(CollectionLocaleTest, SearchOnArabicText) {
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std::vector<field> fields = {field("title", field_types::STRING, true, false, true, ""),};
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Collection* coll1 = collectionManager.create_collection("coll1", 1, fields).get();
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@ -223,6 +223,26 @@ TEST(TokenizerTest, ShouldTokenizeChineseText) {
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}
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TEST(TokenizerTest, ShouldTokenizeLocaleText) {
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std::string text = R"("王獣を倒すと入手した折れた角。追放された後、この世に存在すべきではないもの。\n獣域ウルブズの中で帝王と呼ばれていても、魔獣たちの系譜では、その兄たちの万分の一にも満たないだろう。\n「黄
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金」が無数の獣域ウルブズを捨て紙のように圧縮して偶然にできた異形の魔獣。その角には、黒いウルブズを命じて自分のために空間を溶かす権威が秘めている。")";
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Tokenizer tokenizer(text, true, false, "ja", {}, {});
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LOG(INFO) << "text.size: " << text.size();
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std::string raw_token;
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size_t raw_token_index = 0, tok_start = 0, tok_end = 0;
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// based on `highlight_affix_num_tokens`
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size_t snippet_start_offset = 0, snippet_end_offset = (text.empty() ? 0 : text.size() - 1);
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// window used to locate the starting offset for snippet on the text
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while(tokenizer.next(raw_token, raw_token_index, tok_start, tok_end)) {
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LOG(INFO) << "tok_start: " << tok_start;
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}
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return ;
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std::vector<std::string> tokens;
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tokens.clear();
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@ -283,6 +303,14 @@ TEST(TokenizerTest, ShouldTokenizeLocaleText) {
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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", false, false, "ja").tokenize(tokens);
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ASSERT_EQ(5, tokens.size());
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