<entry id="2213489" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1008110</ent_seq>
<k_ele>
<keb>熟</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<k_ele>
<keb>熟熟</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<k_ele>
<keb>熟々</keb>
<ke_inf>&rK;</ke_inf>
</k_ele>
<r_ele>
<reb>つくづく</reb>
<re_pri>ichi1</re_pri>
<re_pri>news1</re_pri>
<re_pri>nf16</re_pri>
</r_ele>
<r_ele>
<reb>つくつく</reb>
</r_ele>
<r_ele>
<reb>つくずく</reb>
<re_inf>&sk;</re_inf>
</r_ele>
<sense>
<pos>&adv;</pos>
<pos>&adv-to;</pos>
<misc>&uk;</misc>
<misc>&on-mim;</misc>
<gloss>deeply</gloss>
<gloss>keenly</gloss>
<gloss>severely</gloss>
<gloss>completely</gloss>
<gloss>utterly</gloss>
</sense>
<sense>
<pos>&adv;</pos>
<pos>&adv-to;</pos>
<misc>&uk;</misc>
<misc>&on-mim;</misc>
<gloss>intently</gloss>
<gloss>carefully</gloss>
<gloss>closely</gloss>
<gloss>attentively</gloss>
</sense>
<info>
<audit time="2017-08-18 14:41:16" stat="A" unap="true">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Splitting.
Not [adj-na].</upd_detl>
<upd_refs>gg5, prog, daij</upd_refs>
<upd_diff>@@ -26 +25,0 @@
-&lt;pos&gt;&amp;adj-na;&lt;/pos&gt;
@@ -27,0 +27 @@
+&lt;pos&gt;&amp;adv-to;&lt;/pos&gt;
@@ -29,0 +30,3 @@
+&lt;gloss&gt;deeply&lt;/gloss&gt;
+&lt;gloss&gt;keenly&lt;/gloss&gt;
+&lt;gloss&gt;severely&lt;/gloss&gt;
@@ -31,4 +34,7 @@
-&lt;gloss&gt;really&lt;/gloss&gt;
-&lt;gloss&gt;thoroughly&lt;/gloss&gt;
-&lt;gloss&gt;deeply&lt;/gloss&gt;
-&lt;gloss&gt;severely&lt;/gloss&gt;
+&lt;gloss&gt;utterly&lt;/gloss&gt;
+&lt;/sense&gt;
+&lt;sense&gt;
+&lt;pos&gt;&amp;adv;&lt;/pos&gt;
+&lt;pos&gt;&amp;adv-to;&lt;/pos&gt;
+&lt;misc&gt;&amp;uk;&lt;/misc&gt;
+&lt;misc&gt;&amp;on-mim;&lt;/misc&gt;
@@ -35,0 +42,3 @@
+&lt;gloss&gt;carefully&lt;/gloss&gt;
+&lt;gloss&gt;closely&lt;/gloss&gt;
+&lt;gloss&gt;attentively&lt;/gloss&gt;</upd_diff>
</audit>
<audit time="2017-08-19 07:57:46" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2022-05-07 20:00:47" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Is this really commonly written as 熟? I would assume that the
vast majority of counts only apply to じゅく. All of the GG5
examples are written in kana.</upd_detl>
<upd_refs>Google N-gram Corpus Counts
  915,166	 42.4%	熟
    1,201	  0.1%	熟熟
    1,579	  0.1%	熟々
1,224,753	 56.7%	つくづく
   17,650	  0.8%	つくつく</upd_refs>
</audit>
<audit time="2022-05-07 20:22:41" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>maybe 熟 doesn't need the priority tags</upd_detl>
<upd_refs>Google N-gram Corpus Counts
 3,973	 17.4%	熟と
   228	  1.0%	熟熟と
    83	  0.4%	熟々と
18,054	 78.9%	つくづくと
   531	  2.3%	つくつくと</upd_refs>
</audit>
<audit time="2022-05-07 21:15:53" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>They were once needed on both forms for for legacy format reasons, but maybe not now. I'll check.</upd_detl>
<upd_diff>@@ -5,4 +5 @@
-&lt;keb&gt;熟&lt;/keb&gt;
-&lt;ke_pri&gt;ichi1&lt;/ke_pri&gt;
-&lt;ke_pri&gt;news1&lt;/ke_pri&gt;
-&lt;ke_pri&gt;nf16&lt;/ke_pri&gt;
+&lt;keb&gt;熟u&lt;/keb&gt;</upd_diff>
</audit>
<audit time="2022-05-07 21:17:17" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_diff>@@ -5 +5 @@
-&lt;keb&gt;熟u&lt;/keb&gt;
+&lt;keb&gt;熟&lt;/keb&gt;</upd_diff>
</audit>
<audit time="2022-05-08 04:49:03" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>It's OK to have them on the reading alone.</upd_detl>
</audit>
<audit time="2022-05-08 11:31:08" stat="A">
<upd_uid>robin1354</upd_uid>
<upd_name>Robin Scott</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>I've never seen this written with kanji.</upd_detl>
<upd_refs>つくづく思います	107649
熟思います	21
熟熟思います	No matches
熟々思います	No matches</upd_refs>
<upd_diff>@@ -5,0 +6 @@
+&lt;ke_inf&gt;&amp;rK;&lt;/ke_inf&gt;
@@ -8,0 +10 @@
+&lt;ke_inf&gt;&amp;rK;&lt;/ke_inf&gt;
@@ -11,0 +14 @@
+&lt;ke_inf&gt;&amp;rK;&lt;/ke_inf&gt;</upd_diff>
</audit>
<audit time="2022-11-12 02:11:54" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>meikyo: 「つくずく」と書くのは誤り。

Google N-gram Corpus Counts
╭─ーーーー─┬───────────┬───────╮
│ つくづく │ 1,224,753 │ 96.4% │
│ つくつく │    17,650 │  1.4% │
│ つくずく │    28,706 │  2.3% │
╰─ーーーー─┴───────────┴───────╯</upd_refs>
<upd_diff>@@ -23,0 +24,4 @@
+&lt;/r_ele&gt;
+&lt;r_ele&gt;
+&lt;reb&gt;つくずく&lt;/reb&gt;
+&lt;re_inf&gt;&amp;sk;&lt;/re_inf&gt;</upd_diff>
</audit>
<audit time="2022-11-12 02:41:44" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
</info>
</entry>