{"action":"opened","issue":{"url":"https://api.github.com/repos/medcl/elasticsearch-analysis-ik/issues/478","repository_url":"https://api.github.com/repos/medcl/elasticsearch-analysis-ik","labels_url":"https://api.github.com/repos/medcl/elasticsearch-analysis-ik/issues/478/labels{/name}","comments_url":"https://api.github.com/repos/medcl/elasticsearch-analysis-ik/issues/478/comments","events_url":"https://api.github.com/repos/medcl/elasticsearch-analysis-ik/issues/478/events","html_url":"https://github.com/medcl/elasticsearch-analysis-ik/issues/478","id":282394931,"number":478,"title":"使用IK的ik_max_word, 英文分词被分的很细，有没有办法让ik_max_word对英文不做分词","user":{"login":"DodiChen","id":20961839,"avatar_url":"https://avatars1.githubusercontent.com/u/20961839?v=4","gravatar_id":"","url":"https://api.github.com/users/DodiChen","html_url":"https://github.com/DodiChen","followers_url":"https://api.github.com/users/DodiChen/followers","following_url":"https://api.github.com/users/DodiChen/following{/other_user}","gists_url":"https://api.github.com/users/DodiChen/gists{/gist_id}","starred_url":"https://api.github.com/users/DodiChen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/DodiChen/subscriptions","organizations_url":"https://api.github.com/users/DodiChen/orgs","repos_url":"https://api.github.com/users/DodiChen/repos","events_url":"https://api.github.com/users/DodiChen/events{/privacy}","received_events_url":"https://api.github.com/users/DodiChen/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-12-15T11:11:04Z","updated_at":"2017-12-15T11:11:04Z","closed_at":null,"author_association":"NONE","body":"使用_analyze?analyzer=ik_max_word&pretty=true&text=Stich Fix进行分词\r\n得到的结果如下：\r\n`{\r\n\"tokens\": [\r\n{\r\n\"token\": \"stich\",\r\n\"start_offset\": 0,\r\n\"end_offset\": 5,\r\n\"type\": \"ENGLISH\",\r\n\"position\": 0\r\n}\r\n,\r\n{\r\n\"token\": \"ic\",\r\n\"start_offset\": 2,\r\n\"end_offset\": 4,\r\n\"type\": \"CN_WORD\",\r\n\"position\": 1\r\n}\r\n,\r\n{\r\n\"token\": \"fix\",\r\n\"start_offset\": 6,\r\n\"end_offset\": 9,\r\n\"type\": \"ENGLISH\",\r\n\"position\": 2\r\n}\r\n]\r\n_}`_\r\n\r\n但我希望只得到 Stich 和 Fix 这两个词。在不使用ik_smart的情况下，是否有实现的方法？"}}
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