PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (641 utterances, 1,510 words searched).

  1. hai, moo chotto kotchi de shoo . %mov:"20220"_27810_31653 FAT · japanese_ishii/20220.cha, line 37 · Jun 2;02
  2. moo nai ? %mov:"20220"_52854_53447 FAT · japanese_ishii/20220.cha, line 57 · Jun 2;02
  3. moo nai yan . %mov:"20220"_61565_62357 FAT · japanese_ishii/20220.cha, line 67 · Jun 2;02
  4. moo nai ? %mov:"20220"_239760_240970 FAT · japanese_ishii/20220.cha, line 188 · Jun 2;02
  5. moo nai nee [<] . %mov:"20220"_240970_243708 FAT · japanese_ishii/20220.cha, line 190 · Jun 2;02
  6. moo nainai shita . %mov:"20220"_861330_862195 FAT · japanese_ishii/20220.cha, line 619 · Jun 2;02
  7. hai, moo kore oshimai shoo ka ? %mov:"20220"_1298797_1300276 FAT · japanese_ishii/20220.cha, line 885 · Jun 2;02
  8. moo gohon minai no ? %mov:"20220"_2080425_2084260 FAT · japanese_ishii/20220.cha, line 1362 · Jun 2;02
  9. moo . %mov:"20220"_2135190_2136157 FAT · japanese_ishii/20220.cha, line 1379 · Jun 2;02
  10. moo aobanai yoo . %mov:"20220"_2149540_2150788 FAT · japanese_ishii/20220.cha, line 1391 · Jun 2;02
  11. Junkun to asobanai wa,, moo . %mov:"20220"_2156108_2158486 FAT · japanese_ishii/20220.cha, line 1395 · Jun 2;02
  1. FATn ? %mov:"20220"_24070_25309
    CHIbuukoo . %mov:"20220"_25309_27810
    FAT*FAT: hai, moo chotto kotchi de shoo . %mov:"20220"_27810_31653
    CHIxxx . %mov:"20220"_31653_33927
    FATe ? %mov:"20220"_33927_34471
  2. CHIna ? %mov:"20220"_51596_52056
    FATmada aru ? %mov:"20220"_52056_52854
    FAT*FAT: moo nai ? %mov:"20220"_52854_53447
    CHImada aru xxx [>] . %mov:"20220"_53447_56517
    FATdoko ni aru [<] ? %mov:"20220"_53447_56517
  3. FATe ? %mov:"20220"_60035_60573
    CHIxxx . %mov:"20220"_60573_61565
    FAT*FAT: moo nai yan . %mov:"20220"_61565_62357
    FATkore ka ? %mov:"20220"_62357_63582
    CHIkoe un . %mov:"20220"_63582_63582
  4. CHIputchii wa ? %mov:"20220"_235462_237754
    CHIa [: aru] ka naa . %mov:"20220"_237754_239760
    FAT*FAT: moo nai ? %mov:"20220"_239760_240970
    CHImoo nai naa [>] . %mov:"20220"_240970_243708
    FATmoo nai nee [<] . %mov:"20220"_240970_243708
  5. FATmoo nai ? %mov:"20220"_239760_240970
    CHImoo nai naa [>] . %mov:"20220"_240970_243708
    FAT*FAT: moo nai nee [<] . %mov:"20220"_240970_243708
    CHInaa ? %mov:"20220"_243708_245405
    FATuun . %mov:"20220"_245405_245980
  6. FATkowanai ka,, tora ? %mov:"20220"_857460_858714
    CHImoo nainai ta ! %mov:"20220"_858714_861330
    FAT*FAT: moo nainai shita . %mov:"20220"_861330_862195
    FATsoosoo . %mov:"20220"_862195_862731
    CHInaa ? %mov:"20220"_862731_863417
  7. CHIpii . %mov:"20220"_1294186_1296933
    CHImaamaa . %mov:"20220"_1296933_1298797
    FAT*FAT: hai, moo kore oshimai shoo ka ? %mov:"20220"_1298797_1300276
    FATyoshi . %mov:"20220"_1300276_1301628
    FAThona [: dewa] kondo wa kore desu ka ? %mov:"20220"_1301628_1303424
  8. CHIoe na ? %mov:"20220"_2074601_2079027
    CHIna ? %mov:"20220"_2079027_2080425
    FAT*FAT: moo gohon minai no ? %mov:"20220"_2080425_2084260
    CHIkomoo . %mov:"20220"_2084260_2085928
    CHIun,, totte . %mov:"20220"_2085928_2087453
  9. FATee [<] ? %mov:"20220"_2110405_2134028
    CHImoo . %mov:"20220"_2134028_2135190
    FAT*FAT: moo . %mov:"20220"_2135190_2136157
    CHIatchi ittee ! %mov:"20220"_2136157_2136157
    FATe ? %mov:"20220"_2137160_2137940
  10. CHIkiai yoo . %mov:"20220"_2145385_2148887
    FATkirai ka ? %mov:"20220"_2148887_2149540
    FAT*FAT: moo aobanai yoo . %mov:"20220"_2149540_2150788
    FATJun to asobanai wa . %mov:"20220"_2150788_2153459
    CHIxxx sho ? %mov:"20220"_2153459_2153459
  11. FATJun to asobanai wa . %mov:"20220"_2150788_2153459
    CHIxxx sho ? %mov:"20220"_2153459_2153459
    FAT*FAT: Junkun to asobanai wa,, moo . %mov:"20220"_2156108_2158486
    FATatchi itte yuu no ? %mov:"20220"_2158486_2161810

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_ishii7.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20220.chaJun 2;2.201,51011117.28

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. moo11 · 100.0%