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jmdict 1488830 Active (id: 2306919)
<entry id="2306919" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1488830</ent_seq>
<k_ele>
<keb>標榜</keb>
<ke_pri>news2</ke_pri>
<ke_pri>nf40</ke_pri>
</k_ele>
<k_ele>
<keb>標ぼう</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<r_ele>
<reb>ひょうぼう</reb>
<re_pri>news2</re_pri>
<re_pri>nf40</re_pri>
</r_ele>
<sense>
<pos>&n;</pos>
<pos>&vs;</pos>
<pos>&vt;</pos>
<gloss>standing for</gloss>
<gloss>advocating</gloss>
<gloss>championing</gloss>
<gloss>professing (to be)</gloss>
</sense>
<info>
<audit time="2017-07-21 14:26:01" stat="A" unap="true">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Improving.</upd_detl>
<upd_refs>gg5, prog</upd_refs>
<upd_diff>@@ -17,2 +17,4 @@
-&lt;gloss&gt;advocate&lt;/gloss&gt;
-&lt;gloss&gt;champion cause&lt;/gloss&gt;
+&lt;gloss&gt;standing for&lt;/gloss&gt;
+&lt;gloss&gt;advocating&lt;/gloss&gt;
+&lt;gloss&gt;championing&lt;/gloss&gt;
+&lt;gloss&gt;professing (to be)&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2017-07-24 10:23:53" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2019-10-29 23:24:14" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Came across it in "社会運動等標ぼうゴロ". Worth recording.</upd_detl>
<upd_refs>標榜	325096
標ぼう	5329
ひょうぼう	2396</upd_refs>
<upd_diff>@@ -7,0 +8,3 @@
+&lt;/k_ele&gt;
+&lt;k_ele&gt;
+&lt;keb&gt;標ぼう&lt;/keb&gt;</upd_diff>
</audit>
<audit time="2021-11-18 01:26:29" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Meikyo vt and vi additions to n,vs entries
-*- via bulkupd.py -*-</upd_detl>
<upd_diff>@@ -19,0 +20 @@
+&lt;pos&gt;&amp;vt;&lt;/pos&gt;</upd_diff>
</audit>
<audit time="2024-07-18 16:37:58" stat="A">
<upd_uid>stephen</upd_uid>
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>Google N-gram Corpus Counts
╭─ーーーーー─┬─────────┬───────╮
│ 標榜    │ 325,096 │ 97.7% │
│ 標ぼう   │   5,329 │  1.6% │ - sK
│ ひょうぼう │   2,396 │  0.7% │
╰─ーーーーー─┴─────────┴───────╯</upd_refs>
<upd_diff>@@ -10,0 +11 @@
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;</upd_diff>
</audit>
</info>
</entry>



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