PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (898 utterances, 2,592 words searched).

  1. waipaa mo tsuiteru yan . %mov:"30001"_398792_400207 FAT · japanese_ishii/30001.cha, line 226 · Jun 3;00
  2. a, koko tsuiteru yatsu ka ? %mov:"30001"_1480842_1482246 FAT · japanese_ishii/30001.cha, line 812 · Jun 3;00
  3. aa, Kauntakku ni tsuiteru yatsu ka . %mov:"30001"_1487379_1489337 FAT · japanese_ishii/30001.cha, line 815 · Jun 3;00
  4. a, denki tsuiteru [<] . %mov:"30001"_1563083_1564512 FAT · japanese_ishii/30001.cha, line 855 · Jun 3;00
  5. kore raito [= light] tsuiteru yan . %mov:"30001"_1590034_1591717 FAT · japanese_ishii/30001.cha, line 868 · Jun 3;00
  6. tsuiteru nee . %mov:"30001"_1703411_1704373 FAT · japanese_ishii/30001.cha, line 931 · Jun 3;00
  7. un, kore tsuiteru yan,, koko gizagiza . %mov:"30001"_2656180_2659905 FAT · japanese_ishii/30001.cha, line 1451 · Jun 3;00
  8. un, dakedo kore tsuiteru, naa ? %mov:"30001"_2677249_2678920 FAT · japanese_ishii/30001.cha, line 1460 · Jun 3;00
  9. soo, enjin tsuiteru yan . %mov:"30001"_2699166_2700563 FAT · japanese_ishii/30001.cha, line 1470 · Jun 3;00
  1. CHIaa ! %mov:"30001"_387351_389244
    FATkakkoee [: kakkoii] naa,, kore . %mov:"30001"_389244_398792
    FAT*FAT: waipaa mo tsuiteru yan . %mov:"30001"_398792_400207
    CHIkireta yan, hora . %mov:"30001"_400207_402384
    FATuun, kore kittara akan yo . %mov:"30001"_402384_403980
  2. CHIKauntakku no chitchai yatsu ya . %mov:"30001"_1475486_1478954
    FATKauntakku no chiisai yatsu . %mov:"30001"_1478954_1480842
    FAT*FAT: a, koko tsuiteru yatsu ka ? %mov:"30001"_1480842_1482246
    CHIchau ya . %mov:"30001"_1482246_1482955
    CHIKauntakku no yatsu no tsuiten ne te,, kore wa . %mov:"30001"_1482955_1487379
  3. CHIchau ya . %mov:"30001"_1482246_1482955
    CHIKauntakku no yatsu no tsuiten ne te,, kore wa . %mov:"30001"_1482955_1487379
    FAT*FAT: aa, Kauntakku ni tsuiteru yatsu ka . %mov:"30001"_1487379_1489337
    FATkoree wa nan no e desu ka,, kore wa ? %mov:"30001"_1489337_1490895
    FATushi desu ka ? %mov:"30001"_1490895_1493551
  4. CHIkoo sun ne . %mov:"30001"_1560611_1563083
    CHIdenki tsuiteru [>] . %mov:"30001"_1563083_1564512
    FAT*FAT: a, denki tsuiteru [<] . %mov:"30001"_1563083_1564512
    FATkore wa hekkonden nya na ? %mov:"30001"_1564512_1565923
    CHIkore wa hekkonden ne . %mov:"30001"_1565923_1568466
  5. CHIhora . %mov:"30001"_1585379_1586208
    FATkore yoko wa ? %mov:"30001"_1586208_1590034
    FAT*FAT: kore raito [= light] tsuiteru yan . %mov:"30001"_1590034_1591717
    CHIhora . %mov:"30001"_1591717_1592398
    FAThora, kore raito [= light] deteru yan . %mov:"30001"_1592398_1594984
  6. CHIkore tsuiten nya, hora, koo [>] +... %mov:"30001"_1700226_1703411
    FATissho ya [<] . %mov:"30001"_1700226_1703411
    FAT*FAT: tsuiteru nee . %mov:"30001"_1703411_1704373
    FATzenzen issho yaro ? %mov:"30001"_1704373_1707379
    FATsotchi kara mitara koo natten nya ro ? %mov:"30001"_1707379_1709063
  7. FATsoshitara issho ya no ni naa,, kore to . %mov:"30001"_2649563_2651910
    CHIhonnara naa kore tsuiteru ka ? %mov:"30001"_2651910_2656180
    FAT*FAT: un, kore tsuiteru yan,, koko gizagiza . %mov:"30001"_2656180_2659905
    FATgizagizagiza te sun nyaro ? %mov:"30001"_2659905_2661549
    CHIhonnyattara [: soredattara] kore tsuiteru ka . %mov:"30001"_2661549_2665575
  8. CHIn ? %mov:"30001"_2671358_2673500
    CHIkore ga dakedo kore tsuiteru wa . %mov:"30001"_2673500_2677249
    FAT*FAT: un, dakedo kore tsuiteru, naa ? %mov:"30001"_2677249_2678920
    FATkore ga kakkoii nya, naa ? %mov:"30001"_2678920_2680761
    CHIsoo ya na ? %mov:"30001"_2680761_2682448
  9. FATenjin tsuitenai yan, hore . %mov:"30001"_2693378_2695661
    CHIkore ga enjin tsuiteru wa . %mov:"30001"_2695661_2699166
    FAT*FAT: soo, enjin tsuiteru yan . %mov:"30001"_2699166_2700563
    CHIkore gaa kemuri den ne . %mov:"30001"_2700563_2702994
    FATsoo, kemuri deru . %mov:"30001"_2702994_2703871

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_ishii3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30001.chaJun 3;0.012,592993.47

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. tsuiteru9 · 100.0%