jmdict
1562050
Active
(id:
2202586)
<entry id="2202586" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1562050</ent_seq>
<k_ele>
<keb>和気あいあい</keb>
</k_ele>
<k_ele>
<keb>和気藹々</keb>
</k_ele>
<k_ele>
<keb>和気藹藹</keb>
</k_ele>
<k_ele>
<keb>和気靄々</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<k_ele>
<keb>和気靄靄</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<r_ele>
<reb>わきあいあい</reb>
</r_ele>
<sense>
<pos>&adj-t;</pos>
<pos>&adv-to;</pos>
<misc>&yoji;</misc>
<gloss>harmonious</gloss>
<gloss>peaceful</gloss>
<gloss>congenial</gloss>
<gloss>friendly</gloss>
<gloss>happy</gloss>
</sense>
<info>
<audit time="2014-08-25 03:05:23" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Adding yoji tagAdding yoji tag
-*- via bulkupd.py -*-</upd_detl>
<upd_refs>Kanji Haitani list</upd_refs>
<upd_diff>@@ -26,0 +27 @@
+<misc>&yoji;</misc></upd_diff>
</audit>
<audit time="2017-11-01 17:54:20" stat="A" unap="true">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>The JEs use 和気あいあい. Also gets the most WWW hits.</upd_detl>
<upd_refs>gg5, prog, WWW hits</upd_refs>
<upd_diff>@@ -3,0 +4,3 @@
+<k_ele>
+<keb>和気あいあい</keb>
+</k_ele>
@@ -16,3 +18,0 @@
-<k_ele>
-<keb>和気あいあい</keb>
-</k_ele>
@@ -22,0 +23,2 @@
+<pos>&adj-t;</pos>
+<pos>&adv-to;</pos>
@@ -25,2 +26,0 @@
-<pos>&adj-t;</pos>
-<pos>&adv-to;</pos>
@@ -30,0 +31,2 @@
+<gloss>friendly</gloss>
+<gloss>happy</gloss></upd_diff>
</audit>
<audit time="2017-11-02 03:39:18" stat="A">
<upd_uid>rene</upd_uid>
<upd_name>Rene Malenfant</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2017-11-02 03:39:51" stat="A" unap="true">
<upd_uid>rene</upd_uid>
<upd_name>Rene Malenfant</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>not in any dict</upd_detl>
<upd_diff>@@ -25,2 +24,0 @@
-<pos>&adj-na;</pos>
-<pos>&adj-no;</pos></upd_diff>
</audit>
<audit time="2017-11-02 04:23:43" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2019-06-11 08:49:44" stat="A" unap="true">
<upd_uid>Marcus</upd_uid>
<upd_name>Marcus Richert</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Is this yoji?</upd_detl>
</audit>
<audit time="2019-06-11 23:25:55" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Kanji thought it was, but his collection has turned out to be a bit over-inclusive.</upd_detl>
<upd_diff>@@ -25 +24,0 @@
-<misc>&yoji;</misc></upd_diff>
</audit>
<audit time="2022-05-15 00:37:18" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>apparently [uk]?</upd_detl>
<upd_refs>Google N-gram Corpus Counts
177,042 17.9% 和気あいあい
128,457 13.0% 和気藹々
3,189 0.3% 和気藹藹
1,285 0.1% 和気靄々
213 0.0% 和気靄靄
677,200 68.6% わきあいあい</upd_refs>
<upd_diff>@@ -14,0 +15 @@
+<ke_inf>&rK;</ke_inf>
@@ -17,0 +19 @@
+<ke_inf>&rK;</ke_inf>
@@ -24,0 +27 @@
+<misc>&uk;</misc></upd_diff>
</audit>
<audit time="2022-05-15 01:50:18" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Possibly a mis-parse in the Google n-grams. The JEs all use 和気あいあい in examples. The KM ones used a later parser/lexicon.</upd_detl>
<upd_refs>和気あいあいたる 108
わきあいあいたる 0
KM n-grams:
和気あいあい 7021 58.2%
和気藹々 3890 32.2%
和気藹藹 62 0.5%
和気靄々 18 0.1%
和気靄靄 4 0.0%
わきあいあい 1074 8.9%</upd_refs>
<upd_diff>@@ -27 +26,0 @@
-<misc>&uk;</misc></upd_diff>
</audit>
<audit time="2022-08-10 08:09:07" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Adding yoji tags based on gakken, shinmeikai and-or jitenon
-*- via bulkupd.py -*-</upd_detl>
<upd_diff>@@ -26,0 +27 @@
+<misc>&yoji;</misc></upd_diff>
</audit>
</info>
</entry>