node-nlp
Version:
Library for NLU (Natural Language Understanding) done in Node.js
58 lines (55 loc) • 3.26 kB
JavaScript
/*
* Copyright (c) AXA Shared Services Spain S.A.
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
const { TokenizerJa } = require('../../../lib/nlp/tokenizers');
describe('Tokenizer Ja', () => {
describe('Constructor', () => {
test('It should create a new instance', () => {
const tokenizer = new TokenizerJa();
expect(tokenizer).toBeDefined();
});
});
describe('Tokenize', () => {
test('It empty string is provided return empty array', () => {
const tokenizer = new TokenizerJa();
const expected = [];
const actual = tokenizer.tokenize('');
expect(actual).toEqual(expected);
});
test('It must tokenize simple sentence', () => {
const tokenizer = new TokenizerJa();
const expected = ['計算', '機科', '学', 'に', 'おける', '字句', '解析',
'じくかい', 'せき', '英', 'Lexical', 'Analysis', 'と', 'は', 'ソースコード',
'を', '構成', 'する', '文字', 'の', '並び', 'を', 'トークン', 'token', 'の',
'並び', 'に', '変換', 'する', 'こと', 'を', 'いう', 'ここ', 'でいう', 'トークン',
'と', 'は', '意味', 'を', '持つ', 'コード', 'の', '最小', '単位', 'の', 'こと',
'字句', '解析', 'を', '行う', 'プログラム', 'は', '字句', '解析', '器', 'lexical',
'analyzer', '略称', 'lexer', 'と', '呼ば', 'れる', '字句', '解析', '器', 'は',
'スキャナ', 'scanner', 'と', 'トークナイザ', 'tokenizer', 'から', '構成', 'さ',
'れる'];
const actual = tokenizer.tokenize('計算機科学における字句解析 (じくかいせき、英: Lexical Analysis) とは、ソースコードを構成する文字の並びを、トークン (token) の並びに変換することをいう。\n' +
'ここでいう「トークン」とは、意味を持つコードの最小単位のこと。字句解析を行うプログラムは、字句解析器 (lexical analyzer, 略称:lexer) と呼ばれる。\n' +
'字句解析器はスキャナ (scanner) とトークナイザ (tokenizer) から構成される。\n');
expect(actual).toEqual(expected);
});
});
});