- use correct tags - indicate popular and rare terms - indicate definitions restricted to specific terms - frequencies (Innocent Corpus)
311 lines
11 KiB
JavaScript
311 lines
11 KiB
JavaScript
/*
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* Copyright (C) 2016 Alex Yatskov <alex@foosoft.net>
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* Author: Alex Yatskov <alex@foosoft.net>
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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class Translator {
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constructor() {
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this.database = null;
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this.deinflector = null;
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}
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async prepare() {
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if (!this.database) {
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this.database = new Database();
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await this.database.prepare();
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}
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if (!this.deinflector) {
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const url = chrome.extension.getURL('/bg/lang/deinflect.json');
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const reasons = await requestJson(url, 'GET');
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this.deinflector = new Deinflector(reasons);
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}
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}
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async findTermsGrouped(text, dictionaries, alphanumeric) {
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const titles = Object.keys(dictionaries);
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const {length, definitions} = await this.findTerms(text, dictionaries, alphanumeric);
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const definitionsGrouped = dictTermsGroup(definitions, dictionaries);
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for (const definition of definitionsGrouped) {
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await this.buildTermFrequencies(definition, titles);
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}
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return {length, definitions: definitionsGrouped};
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}
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async findTermsMerged(text, dictionaries, alphanumeric) {
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const titles = Object.keys(dictionaries);
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const {length, definitions} = await this.findTerms(text, dictionaries, alphanumeric);
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const definitionsBySequence = dictTermsMergeBySequence(definitions);
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const definitionsMerged = dictTermsGroup(definitionsBySequence['-1'], dictionaries);
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for (const sequence in definitionsBySequence) {
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if (!(sequence > 0)) {
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continue;
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}
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const result = definitionsBySequence[sequence];
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const rawDefinitionsBySequence = await this.database.findTermsBySequence(Number(sequence));
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const definitionsByGloss = dictTermsMergeByGloss(result, rawDefinitionsBySequence);
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// postprocess glossaries
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for (const gloss in definitionsByGloss) {
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const definition = definitionsByGloss[gloss];
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definition.glossary = JSON.parse(gloss);
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const tags = await this.expandTags(definition.tags, definition.dictionary);
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tags.push(dictTagBuildSource(definition.dictionary));
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definition.tags = dictTagsSort(tags);
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definition.only = [];
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if (!utilSetEqual(definition.expression, result.expression)) {
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for (const expression of utilSetIntersection(definition.expression, result.expression)) {
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definition.only.push(expression);
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}
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}
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if (!utilSetEqual(definition.reading, result.reading)) {
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for (const reading of utilSetIntersection(definition.reading, result.reading)) {
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definition.only.push(reading);
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}
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}
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result.definitions.push(definition);
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}
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result.definitions.sort(definition => -definition.id);
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// turn the Map()/Set() mess to [{expression: E1, reading: R1}, {...}] and tag popular/normal/rare instead of actual tags
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const expressions = [];
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for (const expression of result.expressions.keys()) {
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for (const reading of result.expressions.get(expression).keys()) {
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expressions.push({
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expression: expression,
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reading: reading,
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jmdictTermFrequency: (tags => {
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if (tags.has('P')) {
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return 'popular';
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} else if (dictJmdictTermTagsRare(tags)) {
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return 'rare';
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} else {
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return 'normal';
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}
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})(result.expressions.get(expression).get(reading))
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});
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}
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}
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result.expressions = expressions;
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result.expression = Array.from(result.expression).join(', ');
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result.reading = Array.from(result.reading).join(', ');
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definitionsMerged.push(result);
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}
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for (const definition of definitionsMerged) {
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await this.buildTermFrequencies(definition, titles);
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}
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return {length, definitions: dictTermsSort(definitionsMerged)};
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}
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async findTermsSplit(text, dictionaries, alphanumeric) {
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const titles = Object.keys(dictionaries);
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const {length, definitions} = await this.findTerms(text, dictionaries, alphanumeric);
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for (const definition of definitions) {
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await this.buildTermFrequencies(definition, titles);
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}
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return {length, definitions};
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}
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async findTerms(text, dictionaries, alphanumeric) {
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if (!alphanumeric && text.length > 0) {
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const c = text[0];
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if (!jpIsKana(c) && !jpIsKanji(c)) {
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return {length: 0, definitions: []};
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}
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}
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const cache = {};
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const titles = Object.keys(dictionaries);
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let deinflections = await this.findTermDeinflections(text, titles, cache);
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const textHiragana = jpKatakanaToHiragana(text);
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if (text !== textHiragana) {
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deinflections = deinflections.concat(await this.findTermDeinflections(textHiragana, titles, cache));
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}
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let definitions = [];
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for (const deinflection of deinflections) {
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for (const definition of deinflection.definitions) {
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const tags = await this.expandTags(definition.tags, definition.dictionary);
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tags.push(dictTagBuildSource(definition.dictionary));
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definitions.push({
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source: deinflection.source,
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reasons: deinflection.reasons,
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score: definition.score,
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id: definition.id,
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dictionary: definition.dictionary,
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expression: definition.expression,
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reading: definition.reading,
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glossary: definition.glossary,
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tags: dictTagsSort(tags),
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sequence: definition.sequence
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});
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}
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}
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definitions = dictTermsUndupe(definitions);
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definitions = dictTermsSort(definitions, dictionaries);
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let length = 0;
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for (const definition of definitions) {
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length = Math.max(length, definition.source.length);
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}
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return {length, definitions};
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}
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async findTermDeinflections(text, titles, cache) {
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const definer = async term => {
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if (cache.hasOwnProperty(term)) {
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return cache[term];
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} else {
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return cache[term] = await this.database.findTerms(term, titles);
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}
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};
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let deinflections = [];
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for (let i = text.length; i > 0; --i) {
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const textSlice = text.slice(0, i);
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deinflections = deinflections.concat(await this.deinflector.deinflect(textSlice, definer));
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}
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return deinflections;
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}
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async findKanji(text, dictionaries) {
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let definitions = [];
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const processed = {};
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const titles = Object.keys(dictionaries);
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for (const c of text) {
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if (!processed[c]) {
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definitions = definitions.concat(await this.database.findKanji(c, titles));
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processed[c] = true;
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}
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}
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for (const definition of definitions) {
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const tags = await this.expandTags(definition.tags, definition.dictionary);
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tags.push(dictTagBuildSource(definition.dictionary));
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definition.tags = dictTagsSort(tags);
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definition.stats = await this.expandStats(definition.stats, definition.dictionary);
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definition.frequencies = [];
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for (const meta of await this.database.findKanjiMeta(definition.character, titles)) {
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if (meta.mode === 'freq') {
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definition.frequencies.push({
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character: meta.character,
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frequency: meta.data,
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dictionary: meta.dictionary
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});
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}
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}
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}
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return definitions;
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}
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async buildTermFrequencies(definition, titles) {
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let terms = [];
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if (definition.expressions) {
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terms = terms.concat(definition.expressions);
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} else {
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terms.push(definition);
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}
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for (const term of terms) {
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term.frequencies = [];
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for (const meta of await this.database.findTermMeta(term.expression, titles)) {
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if (meta.mode === 'freq') {
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term.frequencies.push({
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expression: meta.expression,
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frequency: meta.data,
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dictionary: meta.dictionary
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});
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}
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}
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}
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}
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async expandTags(names, title) {
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const tags = [];
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for (const name of names) {
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const base = name.split(':')[0];
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const meta = await this.database.findTagForTitle(base, title);
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const tag = {name};
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for (const prop in meta || {}) {
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if (prop !== 'name') {
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tag[prop] = meta[prop];
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}
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}
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tags.push(dictTagSanitize(tag));
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}
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return tags;
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}
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async expandStats(items, title) {
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const stats = {};
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for (const name in items) {
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const base = name.split(':')[0];
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const meta = await this.database.findTagForTitle(base, title);
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const group = stats[meta.category] = stats[meta.category] || [];
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const stat = {name, value: items[name]};
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for (const prop in meta || {}) {
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if (prop !== 'name') {
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stat[prop] = meta[prop];
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}
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}
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group.push(dictTagSanitize(stat));
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}
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for (const category in stats) {
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stats[category].sort((a, b) => {
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if (a.notes < b.notes) {
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return -1;
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} else if (a.notes > b.notes) {
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return 1;
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} else {
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return 0;
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}
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});
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}
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return stats;
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}
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}
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