<entry id="2224554" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1664440</ent_seq>
<k_ele>
<keb>出会い頭</keb>
<ke_pri>news2</ke_pri>
<ke_pri>nf38</ke_pri>
</k_ele>
<k_ele>
<keb>出合い頭</keb>
</k_ele>
<k_ele>
<keb>出会いがしら</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<k_ele>
<keb>出合頭</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<k_ele>
<keb>出会頭</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<k_ele>
<keb>出合いがしら</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<r_ele>
<reb>であいがしら</reb>
<re_pri>news2</re_pri>
<re_pri>nf38</re_pri>
</r_ele>
<sense>
<pos>&n;</pos>
<gloss>the moment of meeting (of two people, vehicles, etc.)</gloss>
<gloss>the moment of running into each other</gloss>
<gloss>the moment of crossing paths</gloss>
</sense>
<info>
<audit time="2010-11-06 06:49:12" stat="A" unap="true">
<upd_diff>@@ -12,0 +12,4 @@
+&lt;k_ele&gt;
+&lt;keb&gt;出合頭&lt;/keb&gt;
+&lt;ke_inf&gt;&amp;io;&lt;/ke_inf&gt;
+&lt;/k_ele&gt;
@@ -21,0 +25,1 @@
+&lt;gloss&gt;the moment two persons or objects meet&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2010-11-06 18:13:00" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2012-08-04 07:25:41" stat="A" unap="true">
<upd_name>Nils Roland Barth</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Add examples: traffic, person
(All dicts give “collision” examples, and I’ve seen this on traffic signs and TV reports for frontal collisions.)</upd_detl>
<upd_refs>GG5 daijr koji</upd_refs>
<upd_diff>@@ -24,1 +24,1 @@
-&lt;gloss&gt;in passing another&lt;/gloss&gt;
+&lt;gloss&gt;in passing another (esp. colliding with oncoming traffic, bumping into a person)&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2012-08-04 07:53:35" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2012-09-10 16:13:28" stat="A" unap="true">
<upd_name>Scott</upd_name>
<upd_diff>@@ -16,0 +16,4 @@
+&lt;k_ele&gt;
+&lt;keb&gt;出会頭&lt;/keb&gt;
+&lt;ke_inf&gt;&amp;io;&lt;/ke_inf&gt;
+&lt;/k_ele&gt;</upd_diff>
</audit>
<audit time="2012-09-10 23:10:03" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2021-03-10 00:32:19" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Bulk update: Removal of n-t POS
-*- via bulkupd.py -*-</upd_detl>
<upd_diff>@@ -27 +26,0 @@
-&lt;pos&gt;&amp;n-t;&lt;/pos&gt;</upd_diff>
</audit>
<audit time="2021-03-31 04:47:08" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Bulk update n-adv to n,adv
-*- via bulkupd.py -*-</upd_detl>
<upd_diff>@@ -26 +26,2 @@
-&lt;pos&gt;&amp;n-adv;&lt;/pos&gt;
+&lt;pos&gt;&amp;n;&lt;/pos&gt;
+&lt;pos&gt;&amp;adv;&lt;/pos&gt;</upd_diff>
</audit>
<audit time="2023-03-11 21:34:00" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>Meikyo and smk lead with the 会 version, which also gets the most counts below

〈出／で〉〈会（い）／合（い）／あい〉〈頭／がしら／ガシラ〉

Google N-gram Corpus Counts
╭─ーーーーーー─┬────────┬───────╮
│ 出会い頭　　 │ 42,253 │ 73.9% │
│ 出合い頭　　 │  6,129 │ 10.7% │
│ 出会いがしら │  5,593 │  9.8% │ - add, sK
│ 出合頭　　　 │  1,579 │  2.8% │ - [io] to [sK]
│ 出会頭　　　 │    340 │  0.6% │ - [io] to [sK]
│ 出合いがしら │    300 │  0.5% │ - add, sK
│ で会頭　　　 │    269 │  0.5% │
│ 出会いガシラ │     93 │  0.2% │
│ 出あいがしら │     80 │  0.1% │
│ 出あい頭　　 │     38 │  0.1% │
│ 出合がしら　 │     31 │  0.1% │
│ であいがしら │    498 │  0.9% │
╰─ーーーーーー─┴────────┴───────╯</upd_refs>
<upd_diff>@@ -3,0 +4,3 @@
+&lt;k_ele&gt;
+&lt;keb&gt;出会い頭&lt;/keb&gt;
+&lt;/k_ele&gt;
@@ -10 +13,2 @@
-&lt;keb&gt;出会い頭&lt;/keb&gt;
+&lt;keb&gt;出会いがしら&lt;/keb&gt;
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;
@@ -14 +18 @@
-&lt;ke_inf&gt;&amp;io;&lt;/ke_inf&gt;
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;
@@ -18 +22,5 @@
-&lt;ke_inf&gt;&amp;io;&lt;/ke_inf&gt;
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;
+&lt;/k_ele&gt;
+&lt;k_ele&gt;
+&lt;keb&gt;出合いがしら&lt;/keb&gt;
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;</upd_diff>
</audit>
<audit time="2023-03-12 03:56:17" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>GG5 has both, in this order.</upd_refs>
</audit>
<audit time="2023-03-13 00:19:11" stat="A" unap="true">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Doesn't appear to be adverbial.</upd_detl>
<upd_refs>gg5, prog, daij</upd_refs>
<upd_diff>@@ -5,0 +6,2 @@
+&lt;ke_pri&gt;news2&lt;/ke_pri&gt;
+&lt;ke_pri&gt;nf38&lt;/ke_pri&gt;
@@ -9,2 +10,0 @@
-&lt;ke_pri&gt;news2&lt;/ke_pri&gt;
-&lt;ke_pri&gt;nf38&lt;/ke_pri&gt;
@@ -35,3 +35,3 @@
-&lt;pos&gt;&amp;adv;&lt;/pos&gt;
-&lt;gloss&gt;in passing another (esp. colliding with oncoming traffic, bumping into a person)&lt;/gloss&gt;
-&lt;gloss&gt;the moment two persons or objects meet&lt;/gloss&gt;
+&lt;gloss&gt;the moment of meeting (of two people, vehicles, etc.)&lt;/gloss&gt;
+&lt;gloss&gt;the moment of running into each other&lt;/gloss&gt;
+&lt;gloss&gt;the moment of crossing paths&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2023-03-13 03:54:58" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
</info>
</entry>