jmdict
2557610
Active
(id:
2221081)
<entry id="2221081" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>2557610</ent_seq>
<k_ele>
<keb>否が応でも</keb>
</k_ele>
<k_ele>
<keb>嫌が応でも</keb>
<ke_inf>&iK;</ke_inf>
</k_ele>
<k_ele>
<keb>嫌がおうでも</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<k_ele>
<keb>いやが応でも</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<r_ele>
<reb>いやがおうでも</reb>
</r_ele>
<sense>
<pos>&exp;</pos>
<gloss>whether one likes it or not</gloss>
<gloss>whether willing or not</gloss>
<gloss>willy-nilly</gloss>
</sense>
<info>
<audit time="2010-07-15 03:57:25" stat="A" unap="true">
<upd_name>Ben Bullock</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>http://kotobank.jp/word/%E5%90%A6%E3%81%8C%E5%BF%9C%E3%81%A7%E
3%82%82</upd_refs>
</audit>
<audit time="2010-07-15 04:18:25" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Ben's gloss was "Same as 否でも応でも" I copied in the (English) gloss from 否でも応でも</upd_detl>
<upd_refs>GG5</upd_refs>
<upd_diff>@@ -11,1 +11,3 @@
-<gloss>Same as 否でも応でも</gloss>
+<pos>&adv;</pos>
+<gloss>willy-nilly</gloss>
+<gloss>whether willing or not</gloss></upd_diff>
</audit>
<audit time="2012-09-26 07:02:33" stat="A" unap="true">
<upd_name>Marcus</upd_name>
<upd_refs>否が応 is not an entry in daij/nikk/weblio's wa-ei's but 否が応
でも is (daij, nikk, 斎藤和英大辞典, プログレッシブ和英中辞典).
should "... でも" replace this entry or be added as a new one?
also came across an interesting iK, "嫌が追うでも" (5,470 / "嫌が
追う" 76,500 results)</upd_refs>
</audit>
<audit time="2012-09-26 07:27:50" stat="A">
<upd_uid>rene</upd_uid>
<upd_name>Rene Malenfant</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>ref used above in kotobank as well as gg5 used to confirm both have 否が応でも not 否が応</upd_detl>
<upd_diff>@@ -5,1 +5,1 @@
-<keb>否が応</keb>
+<keb>否が応でも</keb>
@@ -8,1 +8,1 @@
-<reb>いやがおう</reb>
+<reb>いやがおうでも</reb>
@@ -11,1 +11,1 @@
-<pos>&adv;</pos>
+<pos>&exp;</pos></upd_diff>
</audit>
<audit time="2012-09-26 07:49:11" stat="A" unap="true">
<upd_name>Marcus</upd_name>
<upd_refs>"嫌が追うでも" 5,470
"嫌が追う" 76,500</upd_refs>
<upd_diff>@@ -6,0 +6,4 @@
+</k_ele>
+<k_ele>
+<keb>嫌が追うでも</keb>
+<ke_inf>&iK;</ke_inf></upd_diff>
</audit>
<audit time="2012-09-30 11:41:47" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2018-02-03 16:57:21" stat="A">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>G n-grams:
否が応でも 42627
いやが応でも 1051</upd_refs>
<upd_diff>@@ -5,0 +6,3 @@
+</k_ele>
+<k_ele>
+<keb>いやが応でも</keb></upd_diff>
</audit>
<audit time="2020-08-25 23:09:22" stat="A" unap="true">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Aligning.
I don't think we need 嫌が追うでも, even as iK. My guess is that it's just a 変換ミス. It only gets ~600 googits. 嫌が応でも, however, is significantly more common.</upd_detl>
<upd_refs>否が応でも 42627
嫌が追うでも 64
嫌が応でも 1493</upd_refs>
<upd_diff>@@ -11 +11 @@
-<keb>嫌が追うでも</keb>
+<keb>嫌が応でも</keb>
@@ -18,0 +19,2 @@
+<gloss>whether one likes it or not</gloss>
+<gloss>whether willing or not</gloss>
@@ -20 +21,0 @@
-<gloss>whether willing or not</gloss></upd_diff>
</audit>
<audit time="2020-08-25 23:49:30" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2023-02-06 11:57:37" stat="A">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>否が応でも 42627 82.9%
いやが応でも 1051 2.0%
嫌が応でも 1493 2.9%
いやがおうでも 6239 12.1%</upd_refs>
<upd_diff>@@ -8 +8,2 @@
-<keb>いやが応でも</keb>
+<keb>嫌が応でも</keb>
+<ke_inf>&iK;</ke_inf>
@@ -11,2 +12,2 @@
-<keb>嫌が応でも</keb>
-<ke_inf>&iK;</ke_inf>
+<keb>いやが応でも</keb>
+<ke_inf>&sK;</ke_inf></upd_diff>
</audit>
<audit time="2023-02-06 17:05:53" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>{いや、イヤ、否、嫌}が{応、追う、おう}でも
Google N-gram Corpus Counts
╭─ーーーーーーー─┬────────┬───────╮
│ 否が応でも │ 42,627 │ 80.6% │
│ 嫌が応でも │ 1,493 │ 2.8% │
│ 嫌がおうでも │ 1,078 │ 2.0% │ - adding
│ いやが応でも │ 1,051 │ 2.0% │
│ 否がおうでも │ 208 │ 0.4% │
│ 嫌が追うでも │ 64 │ 0.1% │
│ イヤが応でも │ 38 │ 0.1% │
│ いやが追うでも │ 0 │ 0.0% │
│ イヤが追うでも │ 0 │ 0.0% │
│ 否が追うでも │ 0 │ 0.0% │
│ イヤがおうでも │ 99 │ 0.2% │
│ いやがおうでも │ 6,239 │ 11.8% │
╰─ーーーーーーー─┴────────┴───────╯</upd_refs>
<upd_diff>@@ -9,0 +10,4 @@
+</k_ele>
+<k_ele>
+<keb>嫌がおうでも</keb>
+<ke_inf>&sK;</ke_inf></upd_diff>
</audit>
<audit time="2023-02-06 18:46:28" stat="A">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
</info>
</entry>