PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

21.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. aitataas hita [/] aitataa shita . %mov:"10000"_181639_183604 FAT · japanese_ishii/10000.cha, line 106 · Jun 1;00
  2. aitataa shita . %mov:"10000"_183604_185713 FAT · japanese_ishii/10000.cha, line 107 · Jun 1;00
  3. mata bii@o shita [: yabutta] . %mov:"10000"_475971_477420 FAT · japanese_ishii/10000.cha, line 223 · Jun 1;00
  4. buubuu@o aa aa shita no ? %mov:"10000"_801810_805327 FAT · japanese_ishii/10000.cha, line 341 · Jun 1;00
  5. dore (o) aa aa shita no . %mov:"10000"_833534_835289 FAT · japanese_ishii/10000.cha, line 354 · Jun 1;00
  6. un, dare ga shitan [: shita+no] ? %mov:"10000"_841276_842271 FAT · japanese_ishii/10000.cha, line 360 · Jun 1;00
  7. aa aa shita no . %mov:"10000"_847117_848155 FAT · japanese_ishii/10000.cha, line 366 · Jun 1;00
  8. dore (o) aa aa shita no . %mov:"10000"_855000_856039 FAT · japanese_ishii/10000.cha, line 374 · Jun 1;00
  9. are (o) aa aa shita no ? %mov:"10000"_857567_858760 FAT · japanese_ishii/10000.cha, line 378 · Jun 1;00
  10. ano ohana (o) aa aa shita no . %mov:"10000"_858760_861746 FAT · japanese_ishii/10000.cha, line 380 · Jun 1;00
  1. FATitakatta . %mov:"10000"_177318_179341
    FATaa itakatta . %mov:"10000"_179341_181639
    FAT*FAT: aitataas hita [/] aitataa shita . %mov:"10000"_181639_183604
    FATaitataa shita . %mov:"10000"_183604_185713
    FATaketari shimetari shitara aitataa suru yo . %mov:"10000"_185713_188323
  2. FATaa itakatta . %mov:"10000"_179341_181639
    FATaitataas hita [/] aitataa shita . %mov:"10000"_181639_183604
    FAT*FAT: aitataa shita . %mov:"10000"_183604_185713
    FATaketari shimetari shitara aitataa suru yo . %mov:"10000"_185713_188323
    FATuun ? %mov:"10000"_188323_190040
  3. FATdare ka naa ? %mov:"10000"_444062_446690
    FATa, mata <yaba> [//] yabuttaa . %mov:"10000"_470772_475971
    FAT*FAT: mata bii@o shita [: yabutta] . %mov:"10000"_475971_477420
    FATtya ! %mov:"10000"_483484_485132
    FATa ! %mov:"10000"_485132_485645
  4. FATdore ? %mov:"10000"_800017_800618
    FATjidoosha ? %mov:"10000"_800618_801810
    FAT*FAT: buubuu@o aa aa shita no ? %mov:"10000"_801810_805327
    CHInn . %mov:"10000"_805327_809878
    CHIwaawaawo ! %mov:"10000"_814533_817227
  5. FATaa aa . %mov:"10000"_829354_830551
    FATn ? %mov:"10000"_830551_833534
    FAT*FAT: dore (o) aa aa shita no . %mov:"10000"_833534_835289
    FATaa, ano ohana . %mov:"10000"_835289_836722
    FATano <ohana> [>] (o) aa aa shitan [: shitano] . %mov:"10000"_836722_839162
  6. CHIa [<] . %mov:"10000"_836722_839162
    CHIaa aa . %mov:"10000"_839162_841276
    FAT*FAT: un, dare ga shitan [: shita+no] ? %mov:"10000"_841276_842271
    CHInno . %mov:"10000"_842271_843679
    FATJunkun ka . %mov:"10000"_843679_844299
  7. FATuun . %mov:"10000"_845136_845754
    CHIaa aa . %mov:"10000"_845754_845754
    FAT*FAT: aa aa shita no . %mov:"10000"_847117_848155
    CHIndani . %mov:"10000"_847117_848155
    FATuun . %mov:"10000"_849518_850335
  8. CHIuaa aa . %mov:"10000"_852853_854104
    CHIaa aa . %mov:"10000"_854104_855000
    FAT*FAT: dore (o) aa aa shita no . %mov:"10000"_855000_856039
    FATyuute [: itte] [>] . %mov:"10000"_856039_856659
    CHInna [<] . %mov:"10000"_856039_856659
  9. CHInna [<] . %mov:"10000"_856039_856659
    FATare ka ? %mov:"10000"_856659_857567
    FAT*FAT: are (o) aa aa shita no ? %mov:"10000"_857567_858760
    FATano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
    FATsotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153
  10. FATare ka ? %mov:"10000"_856659_857567
    FATare (o) aa aa shita no ? %mov:"10000"_857567_858760
    FAT*FAT: ano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
    FATsotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153
    FATsotchi wa dame ya [: da] . %mov:"10000"_863153_865319

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_ishii21.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468101021.37

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. shita10 · 100.0%