PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

20.12 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (183 utterances, 497 words searched).

  1. nani ga . %mov:"10011"_139954_140753 FAT · japanese_ishii/10011.cha, line 110 · Jun 1;00
  2. nani ga . %mov:"10011"_170115_170974 FAT · japanese_ishii/10011.cha, line 116 · Jun 1;00
  3. nani ga . %mov:"10011"_602958_604092 FAT · japanese_ishii/10011.cha, line 316 · Jun 1;00
  4. nani ga mien [: mieru] no ? %mov:"10011"_624239_624239 FAT · japanese_ishii/10011.cha, line 330 · Jun 1;00
  5. nani <ga> [>] . %mov:"10011"_669238_670900 FAT · japanese_ishii/10011.cha, line 342 · Jun 1;00
  6. nani ga aa aa ? %mov:"10011"_670900_671961 FAT · japanese_ishii/10011.cha, line 344 · Jun 1;00
  7. nani ga aa aa ya [: da] . %mov:"10011"_709398_710768 FAT · japanese_ishii/10011.cha, line 362 · Jun 1;00
  8. nani ga aa aa ya [: da] . %mov:"10011"_710768_712571 FAT · japanese_ishii/10011.cha, line 363 · Jun 1;00
  9. nani ga aa aa aa ? %mov:"10011"_784671_786229 FAT · japanese_ishii/10011.cha, line 391 · Jun 1;00
  10. nani ga aata . %mov:"10011"_881100_882038 FAT · japanese_ishii/10011.cha, line 419 · Jun 1;00
  1. CHIrya . %mov:"10011"_136732_136732
    CHIdiyiya . %mov:"10011"_137917_139954
    FAT*FAT: nani ga . %mov:"10011"_139954_140753
    FATaa, sotchi (e) haittara xxx . %mov:"10011"_159468_163755
    FATxxx . %mov:"10011"_163755_166257
  2. FATxxx . %mov:"10011"_163755_166257
    CHIaawoaa . %mov:"10011"_163755_170115
    FAT*FAT: nani ga . %mov:"10011"_170115_170974
    CHIcho . %mov:"10011"_170974_172100
    FATa ! %mov:"10011"_172100_172568
  3. FATjoozu joozu . %mov:"10011"_593590_599138
    CHIaa aa aa . %mov:"10011"_599138_602958
    FAT*FAT: nani ga . %mov:"10011"_602958_604092
    CHIbuubuubuu . %mov:"10011"_604092_608500
    FATbuu buu buu ka,, are ga . %mov:"10011"_608500_609888
  4. CHIcha . %mov:"10011"_620069_622324
    FATun ? %mov:"10011"_622324_624239
    FAT*FAT: nani ga mien [: mieru] no ? %mov:"10011"_624239_624239
    FATa, buubuu@o (ga) nai wa,, moo . %mov:"10011"_625649_629689
    FATbuubuu@o (wa) baibai shita . %mov:"10011"_629689_631515
  5. CHIcheiea . %mov:"10011"_638216_644523
    CHIaa aa . %mov:"10011"_666688_669238
    FAT*FAT: nani <ga> [>] . %mov:"10011"_669238_670900
    CHI<buu> [<] uu . %mov:"10011"_669238_670900
    FATnani ga aa aa ? %mov:"10011"_670900_671961
  6. FATnani <ga> [>] . %mov:"10011"_669238_670900
    CHI<buu> [<] uu . %mov:"10011"_669238_670900
    FAT*FAT: nani ga aa aa ? %mov:"10011"_670900_671961
    FATaa, atta atta . %mov:"10011"_671961_674107
    FAThora . %mov:"10011"_674107_675439
  7. FATun ? %mov:"10011"_698523_701674
    CHIaa aa . %mov:"10011"_707553_709398
    FAT*FAT: nani ga aa aa ya [: da] . %mov:"10011"_709398_710768
    FATnani ga aa aa ya [: da] . %mov:"10011"_710768_712571
    CHIaa aa aa . %mov:"10011"_712571_714486
  8. CHIaa aa . %mov:"10011"_707553_709398
    FATnani ga aa aa ya [: da] . %mov:"10011"_709398_710768
    FAT*FAT: nani ga aa aa ya [: da] . %mov:"10011"_710768_712571
    CHIaa aa aa . %mov:"10011"_712571_714486
    FATun ? %mov:"10011"_714486_715233
  9. CHIatya . %mov:"10011"_781155_782659
    CHIaa aa aa . %mov:"10011"_782659_784671
    FAT*FAT: nani ga aa aa aa ? %mov:"10011"_784671_786229
    CHIdya . %mov:"10011"_786229_787779
    FATun ? %mov:"10011"_787779_788525
  10. CHIaata . %mov:"10011"_875223_879782
    FATun, aata . %mov:"10011"_879782_881100
    FAT*FAT: nani ga aata . %mov:"10011"_881100_882038
    CHIaata . %mov:"10011"_882038_888493
    FATyoichoo [: yoisho] ! %mov:"10011"_888493_894844

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_ishii20.12
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10011.chaJun 1;0.11497101020.12

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. nani10 · 100.0%