从大型语料库填充句子 table
Populating sentences from large corpus table
我有五个 table 包含词汇数据。我想显示从语料库到给定冰岛语词条（包括所有单词形式）的句子。使用以下方法，找到 5 个句子需要 2 秒。我正在寻找一种可以显示所有可用句子的解决方案。
预期结果：
包含查询中指定的给定词条的所有单词形式的句子列表。
当前结果：
当前结果returns仅匹配关键词基本形式的句子：
word_form w_id s_id pos sentence
hest 11484 794930 1 Sentence 1. .....
hest 11484 795623 12 Sentence 2 .....
预期结果：
word_form w_id s_id pos sentence
hest 11484 794930 1 Sentence 1. .....
hest 11484 795623 12 Sentence 2 .....
...
hestur .. .. .. Sentence 13.
hestur .. .. .. Sentence 14.
...
hesti .. .. .. Sentence 21.
...
建议的查询有更改，但以错误结束。
SELECT w0.keyword, w.word_form, w3.w_id, w4.s_id, w4.pos, s.sentence
FROM `1_headword` w0
INNER JOIN `2_wordform` w ON w.keyword = w0.keyword
INNER JOIN `3_words` w3 ON w3.word = w.word_form
INNER JOIN `4_inv_w` w4 ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id WHERE w0.keyword like 'hestur' group by w4.s_id
备注：
关键字是一个，基本形式 - 在本例中为 "hestur"。在这种情况下，单词形式是 - "hest"、"hesti"、"hestar"（请参阅插入 table）等。
换句话说，查询应该采用给定词条的所有词形式并匹配词形式出现的句子。
更新二.
很少观察。
1.The 以下简化查询接收 w_id 所有单词形式 returns 行，第一个单词形式重复 w_id。
2. 3_words table.
中的单词形式可以有几行
SELECT w.keyword, w.word_form, w3.w_id FROM `2_wordform1` w
JOIN `3_words` w3
ON w3.word = w.keyword and w3.gram = w.gram
WHERE w.keyword like 'tala' and w.gram = 'f'
行
tala tala 8809
tala tala 89664
tala tala 97991
Tala Tala 8809
Tala Tala 89664
Tala Tala 97991
tala tölur 8809
tala tölur 89664
tala tölur 97991
表格和数据
table - 词条，70000 行
CREATE TABLE IF NOT EXISTS `1_headword` (
`id` int(9) NOT NULL,
`keyword` varchar(100) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL,
`num_keyword` int(9) NOT NULL DEFAULT '0',
`gram` varchar(40) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC AUTO_INCREMENT=55328 ;
ALTER TABLE `1_headword`
ADD PRIMARY KEY (`id`), ADD KEY `keyword` (`keyword`);
table - 单词形式 - 700 000 行
CREATE TABLE IF NOT EXISTS `2_wordform` (
`id` int(10) NOT NULL,
`keyword` varchar(120) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL,
`num_keyword` int(4) NOT NULL,
`word_form` varchar(120) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=678480 ;
ALTER TABLE `2_wordform`
ADD PRIMARY KEY (`id`), ADD KEY `word_form` (`word_form`);
table - 从语料库中标记的单词形式 w_id（单词 id），100 万行
CREATE TABLE `3_words` (
`w_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`word` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`gram` varchar(255) DEFAULT NULL,
`freq` int(10) unsigned DEFAULT NULL,
PRIMARY KEY (`w_id`),
KEY `word` (`word`),
KEY `w_id` (`w_id`)
) ENGINE=MyISAM AUTO_INCREMENT=800468 DEFAULT CHARSET=utf8;
table - w_id(word id)连接到s_id(sentence id)，word可以在几个句子中找到，加上在句子中的位置，2200万行
CREATE TABLE `4_inv_w` (
`w_id` int(10) unsigned NOT NULL DEFAULT '0',
`s_id` int(10) unsigned NOT NULL DEFAULT '0',
`pos` mediumint(2) unsigned NOT NULL DEFAULT '0',
KEY `w_id` (`w_id`),
KEY `s_id` (`s_id`),
KEY `w_s` (`w_id`,`s_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
table - s_id (sentence id) with sentence, 100万行
CREATE TABLE `5_sentences` (
`s_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`sentence` text,
KEY `s_id` (`s_id`)
) ENGINE=MyISAM AUTO_INCREMENT=999953 DEFAULT CHARSET=utf8;
进程
select 给定词条的所有词形式 f.e "hestur"（英语中的马）
SELECT `word_form` FROM `2_wordform` WHERE `keyword` like 'hestur'
结果由16至50个结果组成，现在将结果循环为f.e。 "hestur"
的宾格 "hest"
SELECT `w_id` FROM `3_words` WHERE `word` like 'hest'
结果可以包含多个w_id、f.e。使用“10138”
SELECT `s_id`, `pos` FROM `4_inv_w` WHERE `w_id` = '10138' group by `s_id`
结果可以包含几个句子，以显示f.e。句子 '7201'
SELECT `sentence` FROM `5_sentences` WHERE `s_id` = '7201'
更新
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42490, 'hestur', 0, 'hest') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42498, 'hestur', 0, 'hesta') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42501, 'hestur', 0, 'hestana') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42503, 'hestur', 0, 'hestanna') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42497, 'hestur', 0, 'hestar') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42500, 'hestur', 0, 'hestarnir') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42491, 'hestur', 0, 'hesti') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42494, 'hestur', 0, 'hestinn') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42495, 'hestur', 0, 'hestinum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42492, 'hestur', 0, 'hests') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42496, 'hestur', 0, 'hestsins') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42499, 'hestur', 0, 'hestum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42502, 'hestur', 0, 'hestunum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42489, 'hestur', 0, 'hestur') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42493, 'hestur', 0, 'hesturinn') ;
插入 3_words（w_id、word、gram、freq）值
(11484, 'hestur', 'nken', 122),
(60681, 'Hestur', 'nken', 15),
(484318, 'HESTUR', 'nken', 1),
(491111, 'Hestur', 'nken-s', 1);
插入 3_words（w_id、word、gram、freq）值
(10138, 'hest', 'nkeo', 141),
(159967, 'Hest', 'nkeo', 4),
(491114, 'Hest', 'ssm', 1);
插入 4_inv_w（w_id、s_id、pos）值
(11484, 2671, 4),
(11484, 22522, 7),
(11484, 30169, 8),
(11484, 32487, 4),
(11484, 33841, 9),
(11484, 38116, 5),
(11484, 40450, 6),
(11484, 42741, 32),
(11484, 45789, 10),
(11484, 58998, 3),
(11484, 74343, 4),
(11484, 76001, 3),
(11484, 99014, 9),
(11484, 99688, 6),
(11484, 109849, 21),
(11484, 119708, 21),
(11484, 131353, 34),
(11484, 147820, 6),
(11484, 148326, 25),
(11484, 160475, 40),
(11484, 167227, 2),
(11484, 170401, 3),
(11484, 178416, 18),
(11484, 197295, 12),
(11484, 197295, 6),
(11484, 198420, 19),
(11484, 203446, 28),
(11484, 204448, 1),
(11484, 215402, 1),
(11484, 237323, 4),
(11484, 249282, 4),
(11484, 263949, 1),
(11484, 263949, 22),
(11484, 266489, 27),
(11484, 270540, 5),
(11484, 272543, 5),
(11484, 272560, 1),
(11484, 272560, 8),
(11484, 282170, 20),
(11484, 284407, 26),
(11484, 290524, 6),
(11484, 291438, 10),
(11484, 293344, 6),
(11484, 294034, 49),
(11484, 317007, 7),
(11484, 325049, 22),
(11484, 328392, 14),
(11484, 368188, 47),
(11484, 391892, 14),
(11484, 401157, 11),
(11484, 412656, 24),
(11484, 421635, 17),
(11484, 439320, 3),
(11484, 467063, 5),
(11484, 469324, 23),
(11484, 477392, 2),
(11484, 480318, 4),
(11484, 487883, 1),
(11484, 490577, 42),
(11484, 499783, 9),
(11484, 500405, 23),
(11484, 501118, 15),
(11484, 527227, 3),
(11484, 539686, 25),
(11484, 543056, 9),
(11484, 544261, 3),
(11484, 547700, 20),
(11484, 555638, 19),
(11484, 570234, 2),
(11484, 592710, 2),
(11484, 616662, 1),
(11484, 619011, 16),
(11484, 632123, 2),
(11484, 633124, 2),
(11484, 636792, 8),
(11484, 636792, 3),
(11484, 646603, 17),
(11484, 664738, 4),
(11484, 670017, 4),
(11484, 685997, 4),
(11484, 686202, 1),
(11484, 691794, 12),
(11484, 698341, 2),
(11484, 715281, 3),
(11484, 715984, 37),
(11484, 716970, 10),
(11484, 716970, 4),
(11484, 752605, 36),
(11484, 756660, 19),
(11484, 760277, 3),
(11484, 776593, 3),
(11484, 785701, 24),
(11484, 789099, 3),
(11484, 794930, 1),
(11484, 795623, 12),
(11484, 802997, 6),
(11484, 812806, 6),
(11484, 814046, 21),
(11484, 820178, 6),
(11484, 823173, 22),
(11484, 843094, 3),
(11484, 844156, 1),
(11484, 844736, 24),
(11484, 853350, 18),
(11484, 869322, 3),
(11484, 885176, 2),
(11484, 899545, 22),
(11484, 904086, 16),
(11484, 907863, 9),
(11484, 909396, 9),
(11484, 912876, 3),
(11484, 919994, 4),
(11484, 927840, 24),
(11484, 927840, 5),
(11484, 934220, 40),
(11484, 936941, 11),
(11484, 952837, 13),
(11484, 969201, 11),
(11484, 970240, 1),
(11484, 970836, 19),
(11484, 972107, 1),
(11484, 990474, 6);
插入 4_inv_w（w_id、s_id、pos）值
(10138, 7201, 27),
(10138, 18772, 3),
(10138, 30001, 6),
(10138, 42089, 4),
(10138, 42089, 14),
(10138, 42234, 4),
(10138, 49383, 5),
(10138, 54795, 18),
(10138, 57564, 23),
(10138, 88542, 7),
(10138, 93027, 10),
(10138, 101097, 21),
(10138, 134312, 12),
(10138, 139116, 33),
(10138, 139522, 6),
(10138, 159109, 7),
(10138, 159109, 16),
(10138, 161497, 21),
(10138, 163948, 2),
(10138, 165301, 20),
(10138, 166478, 21),
(10138, 183452, 6),
(10138, 184390, 20),
(10138, 189930, 25),
(10138, 201629, 9),
(10138, 204590, 4),
(10138, 211374, 5),
(10138, 216483, 14),
(10138, 223617, 5),
(10138, 233652, 12),
(10138, 236571, 11),
(10138, 241302, 8),
(10138, 246485, 10),
(10138, 256910, 16),
(10138, 262349, 3),
(10138, 262925, 5),
(10138, 267047, 28),
(10138, 291988, 18),
(10138, 292680, 22),
(10138, 294814, 32),
(10138, 326917, 6),
(10138, 330019, 12),
(10138, 333411, 35),
(10138, 337880, 5),
(10138, 342003, 13),
(10138, 355325, 12),
(10138, 356409, 13),
(10138, 363795, 5),
(10138, 365735, 26),
(10138, 376570, 25),
(10138, 378214, 10),
(10138, 379159, 11),
(10138, 379236, 4),
(10138, 379533, 2),
(10138, 388753, 8),
(10138, 420633, 18),
(10138, 433121, 5),
(10138, 434645, 10),
(10138, 435895, 3),
(10138, 455575, 5),
(10138, 461900, 23),
(10138, 464040, 6),
(10138, 466657, 6),
(10138, 469848, 11),
(10138, 475569, 17),
(10138, 482701, 41),
(10138, 527708, 29),
(10138, 527708, 16),
(10138, 529426, 7),
(10138, 530753, 10),
(10138, 538071, 27),
(10138, 542685, 10),
(10138, 553742, 22),
(10138, 553742, 13),
(10138, 557216, 4),
(10138, 563747, 9),
(10138, 564716, 4),
(10138, 569146, 7),
(10138, 578368, 3),
(10138, 581713, 9),
(10138, 595890, 9),
(10138, 599015, 5),
(10138, 608570, 30),
(10138, 610218, 11),
(10138, 610218, 2),
(10138, 612099, 9),
(10138, 612568, 14),
(10138, 612894, 9),
(10138, 615361, 19),
(10138, 618001, 14),
(10138, 624969, 7),
(10138, 628252, 16),
(10138, 628635, 12),
(10138, 635977, 10),
(10138, 643675, 8),
(10138, 650487, 9),
(10138, 651489, 3),
(10138, 657552, 18),
(10138, 672884, 12),
(10138, 677130, 2),
(10138, 678841, 7),
(10138, 678841, 26),
(10138, 682904, 4),
(10138, 691251, 19),
(10138, 706325, 9),
(10138, 714680, 45),
(10138, 717460, 5),
(10138, 717489, 11),
(10138, 722393, 5),
(10138, 729972, 12),
(10138, 735745, 12),
(10138, 738334, 7),
(10138, 740791, 21),
(10138, 775696, 8),
(10138, 776984, 16),
(10138, 786073, 31),
(10138, 793185, 17),
(10138, 821475, 4),
(10138, 835234, 7),
(10138, 842713, 3),
(10138, 842730, 8),
(10138, 847372, 9),
(10138, 849612, 20),
(10138, 861768, 26),
(10138, 864231, 6),
(10138, 865927, 7),
(10138, 873939, 7),
(10138, 883591, 29),
(10138, 884260, 19),
(10138, 894952, 17),
(10138, 898453, 19),
(10138, 899290, 4),
(10138, 909225, 29),
(10138, 910173, 4),
(10138, 922447, 2),
(10138, 939319, 2),
(10138, 956278, 4),
(10138, 967342, 18),
(10138, 977090, 3),
(10138, 991346, 31),
(10138, 991346, 40);
插入 5_sentences (s_id, sentence) 值
(2671, 'Hrímnir|nken-s frá|aþ Hrafnagili|nkeþ-s Glæsilegasti|lkenve hestur|nken aldar|nvee !|!');
插入 5_sentences (s_id, sentence) 值
(7201, 'Hann|fpken heilsar|sfg3en öllum|fokfþ nema|c Braga|nkeþ-s sem|ct nú|aa dregur|sfg3en í|ao land|nheo og|c vill|sfg3en friðmælast|snm við|ao Loka|nkeo-s með|aþ loforði|nheþ um|ao góðar|lvfosf gjafir|nvfo ,|, sverð|nhfo ,|, hest|nkeo og|c hring|nkeo en|c hann|fpken svarar|sfg3en bara|aa með|aþ illu|lheþsf .|.');
任何数据样本与预期结果一起都会非常有帮助。
到目前为止你可以从这个尝试开始：
http://sqlfiddle.com/#!9/7110ef/4
SELECT w.word_form,
w3.w_id,
w4.s_id,
w4.pos,
s.sentence
FROM `2_wordform` w
INNER JOIN `3_words` w3
ON w3.`word` = w.keyword
INNER JOIN `4_inv_w` w4
ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id
WHERE w.keyword like '%hestur%'
如果你只需要一句话你可以：
SELECT DISTINCT s.sentence
FROM `2_wordform` w
INNER JOIN `3_words` w3
ON w3.`word` = w.keyword
INNER JOIN `4_inv_w` w4
ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id
WHERE w.keyword like '%hestur%'
我有五个 table 包含词汇数据。我想显示从语料库到给定冰岛语词条（包括所有单词形式）的句子。使用以下方法，找到 5 个句子需要 2 秒。我正在寻找一种可以显示所有可用句子的解决方案。
预期结果：
包含查询中指定的给定词条的所有单词形式的句子列表。
当前结果：
当前结果returns仅匹配关键词基本形式的句子：
word_form w_id s_id pos sentence
hest 11484 794930 1 Sentence 1. .....
hest 11484 795623 12 Sentence 2 .....
预期结果：
word_form w_id s_id pos sentence
hest 11484 794930 1 Sentence 1. .....
hest 11484 795623 12 Sentence 2 .....
...
hestur .. .. .. Sentence 13.
hestur .. .. .. Sentence 14.
...
hesti .. .. .. Sentence 21.
...
建议的查询有更改，但以错误结束。
SELECT w0.keyword, w.word_form, w3.w_id, w4.s_id, w4.pos, s.sentence
FROM `1_headword` w0
INNER JOIN `2_wordform` w ON w.keyword = w0.keyword
INNER JOIN `3_words` w3 ON w3.word = w.word_form
INNER JOIN `4_inv_w` w4 ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id WHERE w0.keyword like 'hestur' group by w4.s_id
备注： 关键字是一个，基本形式 - 在本例中为 "hestur"。在这种情况下，单词形式是 - "hest"、"hesti"、"hestar"（请参阅插入 table）等。 换句话说，查询应该采用给定词条的所有词形式并匹配词形式出现的句子。
更新二.
很少观察。
1.The 以下简化查询接收 w_id 所有单词形式 returns 行，第一个单词形式重复 w_id。
2. 3_words table.
SELECT w.keyword, w.word_form, w3.w_id FROM `2_wordform1` w
JOIN `3_words` w3
ON w3.word = w.keyword and w3.gram = w.gram
WHERE w.keyword like 'tala' and w.gram = 'f'
行
tala tala 8809
tala tala 89664
tala tala 97991
Tala Tala 8809
Tala Tala 89664
Tala Tala 97991
tala tölur 8809
tala tölur 89664
tala tölur 97991
表格和数据
table - 词条，70000 行
CREATE TABLE IF NOT EXISTS `1_headword` (
`id` int(9) NOT NULL,
`keyword` varchar(100) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL,
`num_keyword` int(9) NOT NULL DEFAULT '0',
`gram` varchar(40) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC AUTO_INCREMENT=55328 ;
ALTER TABLE `1_headword`
ADD PRIMARY KEY (`id`), ADD KEY `keyword` (`keyword`);
table - 单词形式 - 700 000 行
CREATE TABLE IF NOT EXISTS `2_wordform` (
`id` int(10) NOT NULL,
`keyword` varchar(120) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL,
`num_keyword` int(4) NOT NULL,
`word_form` varchar(120) CHARACTER SET utf8 COLLATE utf8_icelandic_ci NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=678480 ;
ALTER TABLE `2_wordform`
ADD PRIMARY KEY (`id`), ADD KEY `word_form` (`word_form`);
table - 从语料库中标记的单词形式 w_id（单词 id），100 万行
CREATE TABLE `3_words` (
`w_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`word` varchar(255) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL,
`gram` varchar(255) DEFAULT NULL,
`freq` int(10) unsigned DEFAULT NULL,
PRIMARY KEY (`w_id`),
KEY `word` (`word`),
KEY `w_id` (`w_id`)
) ENGINE=MyISAM AUTO_INCREMENT=800468 DEFAULT CHARSET=utf8;
table - w_id(word id)连接到s_id(sentence id)，word可以在几个句子中找到，加上在句子中的位置，2200万行
CREATE TABLE `4_inv_w` (
`w_id` int(10) unsigned NOT NULL DEFAULT '0',
`s_id` int(10) unsigned NOT NULL DEFAULT '0',
`pos` mediumint(2) unsigned NOT NULL DEFAULT '0',
KEY `w_id` (`w_id`),
KEY `s_id` (`s_id`),
KEY `w_s` (`w_id`,`s_id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
table - s_id (sentence id) with sentence, 100万行
CREATE TABLE `5_sentences` (
`s_id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`sentence` text,
KEY `s_id` (`s_id`)
) ENGINE=MyISAM AUTO_INCREMENT=999953 DEFAULT CHARSET=utf8;
进程
select 给定词条的所有词形式 f.e "hestur"（英语中的马）
SELECT `word_form` FROM `2_wordform` WHERE `keyword` like 'hestur'
结果由16至50个结果组成，现在将结果循环为f.e。 "hestur"
的宾格 "hest"SELECT `w_id` FROM `3_words` WHERE `word` like 'hest'
结果可以包含多个w_id、f.e。使用“10138”
SELECT `s_id`, `pos` FROM `4_inv_w` WHERE `w_id` = '10138' group by `s_id`
结果可以包含几个句子，以显示f.e。句子 '7201'
SELECT `sentence` FROM `5_sentences` WHERE `s_id` = '7201'
更新
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42490, 'hestur', 0, 'hest') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42498, 'hestur', 0, 'hesta') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42501, 'hestur', 0, 'hestana') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42503, 'hestur', 0, 'hestanna') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42497, 'hestur', 0, 'hestar') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42500, 'hestur', 0, 'hestarnir') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42491, 'hestur', 0, 'hesti') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42494, 'hestur', 0, 'hestinn') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42495, 'hestur', 0, 'hestinum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42492, 'hestur', 0, 'hests') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42496, 'hestur', 0, 'hestsins') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42499, 'hestur', 0, 'hestum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42502, 'hestur', 0, 'hestunum') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42489, 'hestur', 0, 'hestur') ;
插入 2_wordform (id, keyword, num_keyword, word_form) 值 (42493, 'hestur', 0, 'hesturinn') ;
插入 3_words（w_id、word、gram、freq）值
(11484, 'hestur', 'nken', 122),
(60681, 'Hestur', 'nken', 15),
(484318, 'HESTUR', 'nken', 1),
(491111, 'Hestur', 'nken-s', 1);
插入 3_words（w_id、word、gram、freq）值
(10138, 'hest', 'nkeo', 141),
(159967, 'Hest', 'nkeo', 4),
(491114, 'Hest', 'ssm', 1);
插入 4_inv_w（w_id、s_id、pos）值
(11484, 2671, 4),
(11484, 22522, 7),
(11484, 30169, 8),
(11484, 32487, 4),
(11484, 33841, 9),
(11484, 38116, 5),
(11484, 40450, 6),
(11484, 42741, 32),
(11484, 45789, 10),
(11484, 58998, 3),
(11484, 74343, 4),
(11484, 76001, 3),
(11484, 99014, 9),
(11484, 99688, 6),
(11484, 109849, 21),
(11484, 119708, 21),
(11484, 131353, 34),
(11484, 147820, 6),
(11484, 148326, 25),
(11484, 160475, 40),
(11484, 167227, 2),
(11484, 170401, 3),
(11484, 178416, 18),
(11484, 197295, 12),
(11484, 197295, 6),
(11484, 198420, 19),
(11484, 203446, 28),
(11484, 204448, 1),
(11484, 215402, 1),
(11484, 237323, 4),
(11484, 249282, 4),
(11484, 263949, 1),
(11484, 263949, 22),
(11484, 266489, 27),
(11484, 270540, 5),
(11484, 272543, 5),
(11484, 272560, 1),
(11484, 272560, 8),
(11484, 282170, 20),
(11484, 284407, 26),
(11484, 290524, 6),
(11484, 291438, 10),
(11484, 293344, 6),
(11484, 294034, 49),
(11484, 317007, 7),
(11484, 325049, 22),
(11484, 328392, 14),
(11484, 368188, 47),
(11484, 391892, 14),
(11484, 401157, 11),
(11484, 412656, 24),
(11484, 421635, 17),
(11484, 439320, 3),
(11484, 467063, 5),
(11484, 469324, 23),
(11484, 477392, 2),
(11484, 480318, 4),
(11484, 487883, 1),
(11484, 490577, 42),
(11484, 499783, 9),
(11484, 500405, 23),
(11484, 501118, 15),
(11484, 527227, 3),
(11484, 539686, 25),
(11484, 543056, 9),
(11484, 544261, 3),
(11484, 547700, 20),
(11484, 555638, 19),
(11484, 570234, 2),
(11484, 592710, 2),
(11484, 616662, 1),
(11484, 619011, 16),
(11484, 632123, 2),
(11484, 633124, 2),
(11484, 636792, 8),
(11484, 636792, 3),
(11484, 646603, 17),
(11484, 664738, 4),
(11484, 670017, 4),
(11484, 685997, 4),
(11484, 686202, 1),
(11484, 691794, 12),
(11484, 698341, 2),
(11484, 715281, 3),
(11484, 715984, 37),
(11484, 716970, 10),
(11484, 716970, 4),
(11484, 752605, 36),
(11484, 756660, 19),
(11484, 760277, 3),
(11484, 776593, 3),
(11484, 785701, 24),
(11484, 789099, 3),
(11484, 794930, 1),
(11484, 795623, 12),
(11484, 802997, 6),
(11484, 812806, 6),
(11484, 814046, 21),
(11484, 820178, 6),
(11484, 823173, 22),
(11484, 843094, 3),
(11484, 844156, 1),
(11484, 844736, 24),
(11484, 853350, 18),
(11484, 869322, 3),
(11484, 885176, 2),
(11484, 899545, 22),
(11484, 904086, 16),
(11484, 907863, 9),
(11484, 909396, 9),
(11484, 912876, 3),
(11484, 919994, 4),
(11484, 927840, 24),
(11484, 927840, 5),
(11484, 934220, 40),
(11484, 936941, 11),
(11484, 952837, 13),
(11484, 969201, 11),
(11484, 970240, 1),
(11484, 970836, 19),
(11484, 972107, 1),
(11484, 990474, 6);
插入 4_inv_w（w_id、s_id、pos）值
(10138, 7201, 27),
(10138, 18772, 3),
(10138, 30001, 6),
(10138, 42089, 4),
(10138, 42089, 14),
(10138, 42234, 4),
(10138, 49383, 5),
(10138, 54795, 18),
(10138, 57564, 23),
(10138, 88542, 7),
(10138, 93027, 10),
(10138, 101097, 21),
(10138, 134312, 12),
(10138, 139116, 33),
(10138, 139522, 6),
(10138, 159109, 7),
(10138, 159109, 16),
(10138, 161497, 21),
(10138, 163948, 2),
(10138, 165301, 20),
(10138, 166478, 21),
(10138, 183452, 6),
(10138, 184390, 20),
(10138, 189930, 25),
(10138, 201629, 9),
(10138, 204590, 4),
(10138, 211374, 5),
(10138, 216483, 14),
(10138, 223617, 5),
(10138, 233652, 12),
(10138, 236571, 11),
(10138, 241302, 8),
(10138, 246485, 10),
(10138, 256910, 16),
(10138, 262349, 3),
(10138, 262925, 5),
(10138, 267047, 28),
(10138, 291988, 18),
(10138, 292680, 22),
(10138, 294814, 32),
(10138, 326917, 6),
(10138, 330019, 12),
(10138, 333411, 35),
(10138, 337880, 5),
(10138, 342003, 13),
(10138, 355325, 12),
(10138, 356409, 13),
(10138, 363795, 5),
(10138, 365735, 26),
(10138, 376570, 25),
(10138, 378214, 10),
(10138, 379159, 11),
(10138, 379236, 4),
(10138, 379533, 2),
(10138, 388753, 8),
(10138, 420633, 18),
(10138, 433121, 5),
(10138, 434645, 10),
(10138, 435895, 3),
(10138, 455575, 5),
(10138, 461900, 23),
(10138, 464040, 6),
(10138, 466657, 6),
(10138, 469848, 11),
(10138, 475569, 17),
(10138, 482701, 41),
(10138, 527708, 29),
(10138, 527708, 16),
(10138, 529426, 7),
(10138, 530753, 10),
(10138, 538071, 27),
(10138, 542685, 10),
(10138, 553742, 22),
(10138, 553742, 13),
(10138, 557216, 4),
(10138, 563747, 9),
(10138, 564716, 4),
(10138, 569146, 7),
(10138, 578368, 3),
(10138, 581713, 9),
(10138, 595890, 9),
(10138, 599015, 5),
(10138, 608570, 30),
(10138, 610218, 11),
(10138, 610218, 2),
(10138, 612099, 9),
(10138, 612568, 14),
(10138, 612894, 9),
(10138, 615361, 19),
(10138, 618001, 14),
(10138, 624969, 7),
(10138, 628252, 16),
(10138, 628635, 12),
(10138, 635977, 10),
(10138, 643675, 8),
(10138, 650487, 9),
(10138, 651489, 3),
(10138, 657552, 18),
(10138, 672884, 12),
(10138, 677130, 2),
(10138, 678841, 7),
(10138, 678841, 26),
(10138, 682904, 4),
(10138, 691251, 19),
(10138, 706325, 9),
(10138, 714680, 45),
(10138, 717460, 5),
(10138, 717489, 11),
(10138, 722393, 5),
(10138, 729972, 12),
(10138, 735745, 12),
(10138, 738334, 7),
(10138, 740791, 21),
(10138, 775696, 8),
(10138, 776984, 16),
(10138, 786073, 31),
(10138, 793185, 17),
(10138, 821475, 4),
(10138, 835234, 7),
(10138, 842713, 3),
(10138, 842730, 8),
(10138, 847372, 9),
(10138, 849612, 20),
(10138, 861768, 26),
(10138, 864231, 6),
(10138, 865927, 7),
(10138, 873939, 7),
(10138, 883591, 29),
(10138, 884260, 19),
(10138, 894952, 17),
(10138, 898453, 19),
(10138, 899290, 4),
(10138, 909225, 29),
(10138, 910173, 4),
(10138, 922447, 2),
(10138, 939319, 2),
(10138, 956278, 4),
(10138, 967342, 18),
(10138, 977090, 3),
(10138, 991346, 31),
(10138, 991346, 40);
插入 5_sentences (s_id, sentence) 值
(2671, 'Hrímnir|nken-s frá|aþ Hrafnagili|nkeþ-s Glæsilegasti|lkenve hestur|nken aldar|nvee !|!');
插入 5_sentences (s_id, sentence) 值
(7201, 'Hann|fpken heilsar|sfg3en öllum|fokfþ nema|c Braga|nkeþ-s sem|ct nú|aa dregur|sfg3en í|ao land|nheo og|c vill|sfg3en friðmælast|snm við|ao Loka|nkeo-s með|aþ loforði|nheþ um|ao góðar|lvfosf gjafir|nvfo ,|, sverð|nhfo ,|, hest|nkeo og|c hring|nkeo en|c hann|fpken svarar|sfg3en bara|aa með|aþ illu|lheþsf .|.');
任何数据样本与预期结果一起都会非常有帮助。
到目前为止你可以从这个尝试开始：
http://sqlfiddle.com/#!9/7110ef/4
SELECT w.word_form,
w3.w_id,
w4.s_id,
w4.pos,
s.sentence
FROM `2_wordform` w
INNER JOIN `3_words` w3
ON w3.`word` = w.keyword
INNER JOIN `4_inv_w` w4
ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id
WHERE w.keyword like '%hestur%'
如果你只需要一句话你可以：
SELECT DISTINCT s.sentence
FROM `2_wordform` w
INNER JOIN `3_words` w3
ON w3.`word` = w.keyword
INNER JOIN `4_inv_w` w4
ON w4.w_id = w3.w_id
INNER JOIN `5_sentences` s
ON s.s_id = w4.s_id
WHERE w.keyword like '%hestur%'