PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

5.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (820 utterances, 2,162 words searched).

  1. nani shoo ? %mov:"20720"_6643_8703 FAT · japanese_ishii/20720.cha, line 13 · Jun 2;07
  2. nani shoo ? %mov:"20720"_72364_77924 FAT · japanese_ishii/20720.cha, line 50 · Jun 2;07
  3. tsumiki shoo ka . %mov:"20720"_82034_82720 FAT · japanese_ishii/20720.cha, line 53 · Jun 2;07
  4. doo [//] donai [: donoyouni] shite shoo ? %mov:"20720"_82720_84529 FAT · japanese_ishii/20720.cha, line 54 · Jun 2;07
  5. doo shite shoo ? %mov:"20720"_86324_87232 FAT · japanese_ishii/20720.cha, line 56 · Jun 2;07
  6. Jun mo shoo ka,, shawaa . %mov:"20720"_405759_407029 FAT · japanese_ishii/20720.cha, line 222 · Jun 2;07
  7. Junkun nenne shoo ka . %mov:"20720"_1154908_1175774 FAT · japanese_ishii/20720.cha, line 649 · Jun 2;07
  8. koo shoo ka . %mov:"20720"_2053154_2056772 FAT · japanese_ishii/20720.cha, line 1132 · Jun 2;07
  9. nani shoo ? %mov:"20720"_2517417_2524586 FAT · japanese_ishii/20720.cha, line 1315 · Jun 2;07
  10. nenne shoo ka . %mov:"20720"_2524586_2528883 FAT · japanese_ishii/20720.cha, line 1317 · Jun 2;07
  11. xxx goron shite shoo ka ? %mov:"20720"_3388658_3390848 FAT · japanese_ishii/20720.cha, line 1713 · Jun 2;07
  1. FAThai # kotchi oide . %mov:"20720"_0_6643
    FAT*FAT: nani shoo ? %mov:"20720"_6643_8703
    CHItsumiki shoo . %mov:"20720"_8703_11827
    FATe ? %mov:"20720"_11827_12491
  2. CHIyoyon@o # gattai ya . %mov:"20720"_64580_66174
    CHIhora . %mov:"20720"_66174_72364
    FAT*FAT: nani shoo ? %mov:"20720"_72364_77924
    CHInani shoo ? %mov:"20720"_77924_79800
    CHItsumiki shoo ka . %mov:"20720"_79800_82034
  3. CHInani shoo ? %mov:"20720"_77924_79800
    CHItsumiki shoo ka . %mov:"20720"_79800_82034
    FAT*FAT: tsumiki shoo ka . %mov:"20720"_82034_82720
    FATdoo [//] donai [: donoyouni] shite shoo ? %mov:"20720"_82720_84529
    CHIn ? %mov:"20720"_84529_86324
  4. CHItsumiki shoo ka . %mov:"20720"_79800_82034
    FATtsumiki shoo ka . %mov:"20720"_82034_82720
    FAT*FAT: doo [//] donai [: donoyouni] shite shoo ? %mov:"20720"_82720_84529
    CHIn ? %mov:"20720"_84529_86324
    FATdoo shite shoo ? %mov:"20720"_86324_87232
  5. FATdoo [//] donai [: donoyouni] shite shoo ? %mov:"20720"_82720_84529
    CHIn ? %mov:"20720"_84529_86324
    FAT*FAT: doo shite shoo ? %mov:"20720"_86324_87232
    CHItsumiki ga nai . %mov:"20720"_87232_89636
    FATun . %mov:"20720"_89636_90070
  6. FATshawaa shiten ne . %mov:"20720"_403433_404151
    CHIshawaa shiteru . %mov:"20720"_404151_405759
    FAT*FAT: Jun mo shoo ka,, shawaa . %mov:"20720"_405759_407029
    CHIshawaa shinai . %mov:"20720"_407029_408104
    FATshinai ? %mov:"20720"_408104_408852
  7. CHIhore # poposhushu@o xxx motteru . %mov:"20720"_1148805_1153703
    FATaa, Junkun motteru nee ? %mov:"20720"_1153703_1154908
    FAT*FAT: Junkun nenne shoo ka . %mov:"20720"_1154908_1175774
    CHInenne shinai . %mov:"20720"_1175774_1177193
    FATe ? %mov:"20720"_1177193_1177791
  8. CHIii yo [>] . %mov:"20720"_2050720_2053154
    FATkore kotchi yaroo [<] . %mov:"20720"_2050720_2053154
    FAT*FAT: koo shoo ka . %mov:"20720"_2053154_2056772
    CHIkoko no . %mov:"20720"_2056772_2065120
    CHIkoko . %mov:"20720"_2065120_2066256
  9. CHIshite . %mov:"20720"_2499476_2503906
    CHIhai . %mov:"20720"_2503906_2517417
    FAT*FAT: nani shoo ? %mov:"20720"_2517417_2524586
    FATnenne shoo ka . %mov:"20720"_2524586_2528883
    CHInenne shinai to [?] . %mov:"20720"_2528883_2531506
  10. CHIhai . %mov:"20720"_2503906_2517417
    FATnani shoo ? %mov:"20720"_2517417_2524586
    FAT*FAT: nenne shoo ka . %mov:"20720"_2524586_2528883
    CHInenne shinai to [?] . %mov:"20720"_2528883_2531506
    FATe ? %mov:"20720"_2531506_2532084
  11. FATsukoshi dake hirune shinasai . %mov:"20720"_3382785_3385502
    CHIkore shiteru yan . %mov:"20720"_3385502_3388658
    FAT*FAT: xxx goron shite shoo ka ? %mov:"20720"_3388658_3390848
    CHIxxx . %mov:"20720"_3390848_3392246
    CHIshita yan . %mov:"20720"_3392246_3393215

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii5.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20720.chaJun 2;7.202,16211115.09

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. shoo11 · 100.0%