PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. dare ga . %mov:"10008"_297595_298455 FAT · japanese_ishii/10008.cha, line 162 · Jun 1;00
  2. dare ga aa aa shita no ? %mov:"10008"_298455_300027 FAT · japanese_ishii/10008.cha, line 163 · Jun 1;00
  3. dare ga shita . %mov:"10008"_372007_373806 FAT · japanese_ishii/10008.cha, line 193 · Jun 1;00
  4. soo ya [: da], dare ga aa shita no . %mov:"10008"_451710_453846 FAT · japanese_ishii/10008.cha, line 247 · Jun 1;00
  5. a, dare ka (ga) kita . %mov:"10008"_728556_729602 FAT · japanese_ishii/10008.cha, line 379 · Jun 1;00
  6. dare ka na ? %mov:"10008"_729602_731150 FAT · japanese_ishii/10008.cha, line 380 · Jun 1;00
  7. a, dare ka naa ? %mov:"10008"_735159_737749 FAT · japanese_ishii/10008.cha, line 385 · Jun 1;00
  1. CHIaa a . %mov:"10008"_278195_282080
    CHIaa aa . %mov:"10008"_282080_291267
    FAT*FAT: dare ga . %mov:"10008"_297595_298455
    FATdare ga aa aa shita no ? %mov:"10008"_298455_300027
    FATn ? %mov:"10008"_300027_302760
  2. 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
  3. 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. 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
  5. CHIxxx [<] . %mov:"10008"_721496_725855
    FATwanwaan@o chuchuu@o tte mite . %mov:"10008"_725855_728556
    FAT*FAT: a, dare ka (ga) kita . %mov:"10008"_728556_729602
    FATdare ka na ? %mov:"10008"_729602_731150
    CHIaa aa . %mov:"10008"_731150_732162
  6. FATwanwaan@o chuchuu@o tte mite . %mov:"10008"_725855_728556
    FATa, dare ka (ga) kita . %mov:"10008"_728556_729602
    FAT*FAT: dare ka na ? %mov:"10008"_729602_731150
    CHIaa aa . %mov:"10008"_731150_732162
    FATdore ga . %mov:"10008"_732162_732906
  7. FATdore ga . %mov:"10008"_732162_732906
    FATdore ga aa aa shita no ? %mov:"10008"_732906_735159
    FAT*FAT: a, dare ka naa ? %mov:"10008"_735159_737749
    FATooi tte yonde . %mov:"10008"_737749_739250
    FATooi te . %mov:"10008"_739250_741333

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_ishii13.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.085177713.54

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. dare7 · 100.0%