PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. a, zaa@o omizu no naka ya ne . %mov:"20017"_78506_80050 FAT · japanese_ishii/20017.cha, line 68 · Jun 2;00
  2. a, sore chiisai no . %mov:"20017"_94241_95525 FAT · japanese_ishii/20017.cha, line 74 · Jun 2;00
  3. a, sore buun@o . %mov:"20017"_263594_265033 FAT · japanese_ishii/20017.cha, line 178 · Jun 2;00
  4. a ! %mov:"20017"_538112_544106 FAT · japanese_ishii/20017.cha, line 356 · Jun 2;00
  5. a, meemee@o dore ? %mov:"20017"_546364_560654 FAT · japanese_ishii/20017.cha, line 359 · Jun 2;00
  6. a, sore okuchi . %mov:"20017"_573013_576778 FAT · japanese_ishii/20017.cha, line 368 · Jun 2;00
  7. a ? %mov:"20017"_681580_682494 FAT · japanese_ishii/20017.cha, line 420 · Jun 2;00
  8. a, achiachi . %mov:"20017"_923306_925428 FAT · japanese_ishii/20017.cha, line 570 · Jun 2;00
  1. FATdore ga . %mov:"20017"_77134_78083
    CHIhora . %mov:"20017"_78083_78506
    FAT*FAT: a, zaa@o omizu no naka ya ne . %mov:"20017"_78506_80050
    FATsui [//] suijoojitensha tte kaitaaru ne ? %mov:"20017"_80050_83026
    CHIn ? %mov:"20017"_83026_85533
  2. FATchiisai jitensha dore ? %mov:"20017"_87024_92072
    CHIchiisha . %mov:"20017"_92072_94241
    FAT*FAT: a, sore chiisai no . %mov:"20017"_94241_95525
    FATookii jitensha wa ? %mov:"20017"_95525_97012
    CHIn ? %mov:"20017"_97012_99521
  3. FATnan te kaitaaru no ? %mov:"20017"_257522_258775
    CHIbuun e . %mov:"20017"_258775_263594
    FAT*FAT: a, sore buun@o . %mov:"20017"_263594_265033
    FATjuusaa ya ne . %mov:"20017"_265033_266326
    CHIn [>] ? %mov:"20017"_266326_266919
  4. CHIiya . %mov:"20017"_535773_537464
    FATiya . %mov:"20017"_537464_538112
    FAT*FAT: a ! %mov:"20017"_538112_544106
    CHInai wa . %mov:"20017"_544106_545484
    FATnai wa . %mov:"20017"_545484_546364
  5. CHInai wa . %mov:"20017"_544106_545484
    FATnai wa . %mov:"20017"_545484_546364
    FAT*FAT: a, meemee@o dore ? %mov:"20017"_546364_560654
    CHIun [>] ? %mov:"20017"_560654_564215
    FAT<shinkansen> [<] byuwaan@o no omeme doko ? %mov:"20017"_560654_564215
  6. FATohana # kore ka ? %mov:"20017"_569343_570855
    FATokuchi wa ? %mov:"20017"_570855_573013
    FAT*FAT: a, sore okuchi . %mov:"20017"_573013_576778
    FATmeme, kore meme ka ? %mov:"20017"_576778_578124
    FATkore omeme ka ? %mov:"20017"_578124_580151
  7. FATattaa . %mov:"20017"_679826_680801
    CHIae wa ? %mov:"20017"_680801_681580
    FAT*FAT: a ? %mov:"20017"_681580_682494
    CHIxxx ya . %mov:"20017"_682494_685296
    CHIaye . %mov:"20017"_685296_686894
  8. FATkoide [: korede] ii ? %mov:"20017"_920226_921667
    FATinai yo . %mov:"20017"_921667_923306
    FAT*FAT: a, achiachi . %mov:"20017"_923306_925428
    FATtakitaki shite yo . %mov:"20017"_925428_927177
    FATdekimashita ka ? %mov:"20017"_927177_930302

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_ishii8.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935888.56

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. a8 · 100.0%