<entry id="2226304" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1329970</ent_seq>
<k_ele>
<keb>受注</keb>
<ke_pri>news1</ke_pri>
<ke_pri>nf04</ke_pri>
</k_ele>
<k_ele>
<keb>受註</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<r_ele>
<reb>じゅちゅう</reb>
<re_pri>news1</re_pri>
<re_pri>nf04</re_pri>
</r_ele>
<sense>
<pos>&n;</pos>
<pos>&vs;</pos>
<pos>&vt;</pos>
<xref type="see" seq="1477710">発注</xref>
<gloss>accepting an order</gloss>
<gloss>receiving an order</gloss>
<gloss>orders received</gloss>
<gloss>closed won</gloss>
</sense>
<info>
<audit time="2012-09-07 01:44:26" stat="A" unap="true">
<upd_name>Marcus</upd_name>
<upd_refs>eij
saw "受注後", thought "acceptance of order" makes it less 
ambiguous 
also merged in 受註 based on daijs/daijr keeping them in 1 
entry</upd_refs>
<upd_diff>@@ -8,0 +8,3 @@
+&lt;/k_ele&gt;
+&lt;k_ele&gt;
+&lt;keb&gt;受註&lt;/keb&gt;
@@ -17,1 +20,4 @@
-&lt;gloss&gt;accepting orders&lt;/gloss&gt;
+&lt;gloss&gt;acceptance of order&lt;/gloss&gt;
+&lt;gloss&gt;accepting order&lt;/gloss&gt;
+&lt;gloss&gt;order receipt&lt;/gloss&gt;
+&lt;gloss&gt;order receival&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2012-09-07 04:18:36" stat="A">
<upd_uid>rene</upd_uid>
<upd_name>Rene Malenfant</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>'receival'?</upd_detl>
<upd_refs>gg5, prog, nc, eij</upd_refs>
<upd_diff>@@ -20,4 +20,4 @@
-&lt;gloss&gt;acceptance of order&lt;/gloss&gt;
-&lt;gloss&gt;accepting order&lt;/gloss&gt;
-&lt;gloss&gt;order receipt&lt;/gloss&gt;
-&lt;gloss&gt;order receival&lt;/gloss&gt;
+&lt;xref type="see" seq="1477710"&gt;発注&lt;/xref&gt;
+&lt;gloss&gt;accepting an order&lt;/gloss&gt;
+&lt;gloss&gt;receiving an order&lt;/gloss&gt;
+&lt;gloss&gt;orders received&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2021-11-18 00:57:39" 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="2023-03-23 01:11:00" stat="A" unap="true">
<upd_name>Nicolas Maia</upd_name>
<upd_detl>Sales lingo.</upd_detl>
<upd_refs>https://www.turbine.co.jp/marketing-words/closed-won
https://www.lusha.com/blog/what-is-closed-won-in-sales/</upd_refs>
<upd_diff>@@ -24,0 +25 @@
+&lt;gloss&gt;closed won&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2023-03-23 01:19:26" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>Google N-gram Corpus Counts
╭─ーーーーー─┬───────────╮
│ 受注　　　 │ 4,434,526 │
│ 受註　　　 │       708 │ - rK (most kokugos)
│ じゅちゅう │       561 │
╰─ーーーーー─┴───────────╯</upd_refs>
<upd_diff>@@ -10,0 +11 @@
+&lt;ke_inf&gt;&amp;rK;&lt;/ke_inf&gt;</upd_diff>
</audit>
<audit time="2023-03-24 05:34:20" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
</info>
</entry>