PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

9.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. sore mo popposhusshu@o . %mov:"20108"_115637_116977 FAT · japanese_ishii/20108.cha, line 98 · Jun 2;01
  2. hora, koko ni mo atta popposhusshu@o . %mov:"20108"_155376_160168 FAT · japanese_ishii/20108.cha, line 128 · Jun 2;01
  3. hora, koko mo omizu aru nee . %mov:"20108"_293618_295107 FAT · japanese_ishii/20108.cha, line 203 · Jun 2;01
  4. Jun mo suru ? %mov:"20108"_295107_295107 FAT · japanese_ishii/20108.cha, line 204 · Jun 2;01
  5. Jun mo suru ? %mov:"20108"_298646_300209 FAT · japanese_ishii/20108.cha, line 206 · Jun 2;01
  6. kore mo neechan desho ? %mov:"20108"_414831_416162 FAT · japanese_ishii/20108.cha, line 273 · Jun 2;01
  7. supuun mo mottekite kudasai . %mov:"20108"_801637_804757 FAT · japanese_ishii/20108.cha, line 499 · Jun 2;01
  1. FATminna popposhusshu@o . %mov:"20108"_113759_115078
    CHIoe wa ? %mov:"20108"_115078_115637
    FAT*FAT: sore mo popposhusshu@o . %mov:"20108"_115637_116977
    FATJun no dore ? %mov:"20108"_116977_118239
    CHIche . %mov:"20108"_118239_121231
  2. CHInai wa . %mov:"20108"_153431_154550
    FATa, attaa . %mov:"20108"_154550_155376
    FAT*FAT: hora, koko ni mo atta popposhusshu@o . %mov:"20108"_155376_160168
    CHIn ? %mov:"20108"_160168_161742
    CHImi . %mov:"20108"_161742_164348
  3. CHIn ? %mov:"20108"_290305_291174
    FATjaa@o shiten no # omizu de ? %mov:"20108"_291174_293618
    FAT*FAT: hora, koko mo omizu aru nee . %mov:"20108"_293618_295107
    FATJun mo suru ? %mov:"20108"_295107_295107
    CHIn ? %mov:"20108"_297440_298646
  4. FATjaa@o shiten no # omizu de ? %mov:"20108"_291174_293618
    FAThora, koko mo omizu aru nee . %mov:"20108"_293618_295107
    FAT*FAT: Jun mo suru ? %mov:"20108"_295107_295107
    CHIn ? %mov:"20108"_297440_298646
    FATJun mo suru ? %mov:"20108"_298646_300209
  5. FATJun mo suru ? %mov:"20108"_295107_295107
    CHIn ? %mov:"20108"_297440_298646
    FAT*FAT: Jun mo suru ? %mov:"20108"_298646_300209
    CHIaai . %mov:"20108"_300209_301443
    FATjabujabu@o suru ? %mov:"20108"_301443_302372
  6. FATneechan . %mov:"20108"_413004_413732
    CHIkoe a ? %mov:"20108"_413732_414831
    FAT*FAT: kore mo neechan desho ? %mov:"20108"_414831_416162
    FATa [>] ! %mov:"20108"_416162_416904
    CHIkoe a [<] ? %mov:"20108"_416162_416904
  7. FATa, arigatoo . %mov:"20108"_797062_799269
    FATpan to juusu desu ka ? %mov:"20108"_799269_801637
    FAT*FAT: supuun mo mottekite kudasai . %mov:"20108"_801637_804757
    CHIjuushu . %mov:"20108"_804757_806993
    FATa, sore juusu desu ka ? %mov:"20108"_806993_808484

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_ishii9.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749779.35

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. mo7 · 100.0%