PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

17.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. dare ga aa aa shita no ? %mov:"10008"_298455_300027 FAT · japanese_ishii/10008.cha, line 163 · Jun 1;00
  2. aa aa shita no,, sore (o) totte . %mov:"10008"_370333_372007 FAT · japanese_ishii/10008.cha, line 192 · Jun 1;00
  3. dare ga shita . %mov:"10008"_372007_373806 FAT · japanese_ishii/10008.cha, line 193 · Jun 1;00
  4. Junkun (ga) shita ka . %mov:"10008"_373806_374876 FAT · japanese_ishii/10008.cha, line 195 · Jun 1;00
  5. soo ya [: da], dare ga aa shita no . %mov:"10008"_451710_453846 FAT · japanese_ishii/10008.cha, line 247 · Jun 1;00
  6. aa aa shita no,, sore mo . %mov:"10008"_532070_533510 FAT · japanese_ishii/10008.cha, line 289 · Jun 1;00
  7. hai, uu@o (o) nainai shita yo . %mov:"10008"_543939_545854 FAT · japanese_ishii/10008.cha, line 298 · Jun 1;00
  8. dore ga aa aa shita no ? %mov:"10008"_732906_735159 FAT · japanese_ishii/10008.cha, line 384 · Jun 1;00
  9. dore ga aa aa shita no . %mov:"10008"_828362_830691 FAT · japanese_ishii/10008.cha, line 442 · Jun 1;00
  1. japanese_ishii/10008.cha, line 163 · Jun, 1;0.08
    CHIaa aa . %mov:"10008"_282080_291267
    FATdare ga . %mov:"10008"_297595_298455
    FAT*FAT: dare ga aa aa shita no ? %mov:"10008"_298455_300027
    FATn ? %mov:"10008"_300027_302760
    FATaa ? %mov:"10008"_323145_328538
  2. japanese_ishii/10008.cha, line 192 · Jun, 1;0.08
    CHIaa aa ! %mov:"10008"_366161_368461
    FATkoko totta n [: totta no] . %mov:"10008"_368461_370333
    FAT*FAT: aa aa shita no,, sore (o) totte . %mov:"10008"_370333_372007
    FATdare ga shita . %mov:"10008"_372007_373806
    FATJunkun (ga) shita ka . %mov:"10008"_373806_374876
  3. japanese_ishii/10008.cha, line 193 · Jun, 1;0.08
    FATkoko totta n [: totta no] . %mov:"10008"_368461_370333
    FATaa aa shita no,, sore (o) totte . %mov:"10008"_370333_372007
    FAT*FAT: dare ga shita . %mov:"10008"_372007_373806
    FATJunkun (ga) shita ka . %mov:"10008"_373806_374876
    FATaa ! %mov:"10008"_374876_377547
  4. japanese_ishii/10008.cha, line 195 · Jun, 1;0.08
    FATaa aa shita no,, sore (o) totte . %mov:"10008"_370333_372007
    FATdare ga shita . %mov:"10008"_372007_373806
    FAT*FAT: Junkun (ga) shita ka . %mov:"10008"_373806_374876
    FATaa ! %mov:"10008"_374876_377547
    CHIa . %mov:"10008"_377547_377547
  5. japanese_ishii/10008.cha, line 247 · Jun, 1;0.08
    FATbaa . %mov:"10008"_443613_448204
    CHIaa aa . %mov:"10008"_448204_451710
    FAT*FAT: soo ya [: da], dare ga aa shita no . %mov:"10008"_451710_453846
    FATkono ko ya [: da] na . %mov:"10008"_453846_455432
    CHInaa . %mov:"10008"_459398_464688
  6. japanese_ishii/10008.cha, line 289 · Jun, 1;0.08
    CHIaa aa . %mov:"10008"_513820_528257
    CHIaa aa . %mov:"10008"_528257_532070
    FAT*FAT: aa aa shita no,, sore mo . %mov:"10008"_532070_533510
    FAThai . %mov:"10008"_533510_535471
    CHIa . %mov:"10008"_535471_536322
  7. japanese_ishii/10008.cha, line 298 · Jun, 1;0.08
    FATmatte yo . %mov:"10008"_537539_539851
    FATyoshi, uu@o (o) nainai suru yo . %mov:"10008"_539851_543939
    FAT*FAT: hai, uu@o (o) nainai shita yo . %mov:"10008"_543939_545854
    FATuu@o nai yo . %mov:"10008"_545854_547730
    CHIn . %mov:"10008"_547730_548278
  8. japanese_ishii/10008.cha, line 384 · Jun, 1;0.08
    CHIaa aa . %mov:"10008"_731150_732162
    FATdore ga . %mov:"10008"_732162_732906
    FAT*FAT: dore ga aa aa shita no ? %mov:"10008"_732906_735159
    FATa, dare ka naa ? %mov:"10008"_735159_737749
    FATooi tte yonde . %mov:"10008"_737749_739250
  9. japanese_ishii/10008.cha, line 442 · Jun, 1;0.08
    CHIaa aa [<] . %mov:"10008"_825048_827618
    FATdore ga . %mov:"10008"_827618_828362
    FAT*FAT: dore ga aa aa shita no . %mov:"10008"_828362_830691
    CHIn ? %mov:"10008"_830691_832506
    FATun ? %mov:"10008"_832506_833303

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_ishii17.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.085179917.41

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. shita9 · 100.0%