[Groonga-commit] groonga/groonga at e64d277 [master] doc: fix strange English

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Yasuhiro Horimoto null+****@clear*****
Sat Feb 9 06:57:54 JST 2019


Yasuhiro Horimoto	2019-02-09 06:57:54 +0900 (Sat, 09 Feb 2019)

  Revision: e64d277e02e6187769380a49e27022a7f44a6ff7
  https://github.com/groonga/groonga/commit/e64d277e02e6187769380a49e27022a7f44a6ff7

  Message:
    doc: fix strange English

  Modified files:
    doc/locale/ja/LC_MESSAGES/news.po
    doc/source/news.rst

  Modified: doc/locale/ja/LC_MESSAGES/news.po (+4 -3)
===================================================================
--- doc/locale/ja/LC_MESSAGES/news.po    2019-02-08 19:54:46 +0900 (d3cd14409)
+++ doc/locale/ja/LC_MESSAGES/news.po    2019-02-09 06:57:54 +0900 (65b6df5e6)
@@ -68,13 +68,14 @@ msgstr ""
 msgid "You can extract tokens by a value of columns of existing a table."
 msgstr "既存のテーブルのカラムの値を使ってトークンを抽出できます。"
 
-msgid "[:doc:`/reference/commands/dump`] Supported dumping binary data."
+msgid ""
+"[:doc:`/reference/commands/dump`] Added support for dumping binary data."
 msgstr ""
 "[:doc:`/reference/commands/dump`] バイナリデータのダンプに対応しました。"
 
 msgid ""
-"[:doc:`/reference/commands/select`] Supported similer search against index "
-"column."
+"[:doc:`/reference/commands/select`] Added support for similer search against "
+"index column."
 msgstr ""
 "[:doc:`/reference/commands/select`] インデックスカラムに対する類似文書検索を"
 "サポートしました。"

  Modified: doc/source/news.rst (+2 -2)
===================================================================
--- doc/source/news.rst    2019-02-08 19:54:46 +0900 (d419fb0bf)
+++ doc/source/news.rst    2019-02-09 06:57:54 +0900 (d2dfb3515)
@@ -30,9 +30,9 @@ Improvements
 
   * You can extract tokens by a value of columns of existing a table.
 
-* [:doc:`/reference/commands/dump`] Supported dumping binary data.
+* [:doc:`/reference/commands/dump`] Added support for dumping binary data.
 
-* [:doc:`/reference/commands/select`] Supported similer search against index column.
+* [:doc:`/reference/commands/select`] Added support for similer search against index column.
 
   * If you have used multi column index, you can similar search against all source columns by this feature.
 
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