PHPCLANCHILDES with regular expressions

8 matches in 6 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (898 utterances, 2,592 words searched).

  1. a, soo yattara moo raito [= light] ga hekkomu no . %mov:"30001"_167880_169731 FAT · japanese_ishii/30001.cha, line 112 · Jun 3;00
  2. moo sonna shitara moo mata hittsukanai yo, Junkun . %mov:"30001"_559488_… FAT · japanese_ishii/30001.cha, line 314 · Jun 3;00
  3. moo sonna shitara moo mata hittsukanai yo, Junkun . %mov:"30001"_559488_564004 FAT · japanese_ishii/30001.cha, line 314 · Jun 3;00
  4. moo ikutsu desu ka ? %mov:"30001"_678265_680094 FAT · japanese_ishii/30001.cha, line 382 · Jun 3;00
  5. moo sakki yuuta kara moo yuwanai ne . %mov:"30001"_1778277_1780658 FAT · japanese_ishii/30001.cha, line 967 · Jun 3;00
  6. moo sakki yuuta kara moo yuwanai ne . %mov:"30001"_1778277_1780658 FAT · japanese_ishii/30001.cha, line 967 · Jun 3;00
  7. mokkai [: moo ikkai] . %mov:"30001"_2820739_2821282 FAT · japanese_ishii/30001.cha, line 1517 · Jun 3;00
  8. suupaakaa moo nakatta . %mov:"30001"_2909275_2910329 FAT · japanese_ishii/30001.cha, line 1551 · Jun 3;00
  1. FATa, sore ka . %mov:"30001"_164837_165604
    CHIhora, koo sun ne . %mov:"30001"_165604_167880
    FAT*FAT: a, soo yattara moo raito [= light] ga hekkomu no . %mov:"30001"_167880_169731
    CHIhekkomu no chau no ni . %mov:"30001"_169731_173366
    CHIdenki tsukena nakya [?] # osoto naa +... %mov:"30001"_173366_177784
  2. FATkore de ii ka ? %mov:"30001"_555161_557441
    FATyoshi . %mov:"30001"_557441_559488
    FAT*FAT: moo sonna shitara moo mata hittsukanai yo, Junkun . %mov:"30001"_559488_564004
    FATtottara dame desu . %mov:"30001"_564004_565613
    CHIxxx [>] . %mov:"30001"_565613_569262
  3. CHIOkaasan ga kiree ni Junkun no tabeta . %mov:"30001"_669396_673508
    FATJunkun ga shikkari tabena dame yan ka . %mov:"30001"_673508_678265
    FAT*FAT: moo ikutsu desu ka ? %mov:"30001"_678265_680094
    CHIJun san sai desu . %mov:"30001"_680094_682013
    FATmittsu dekiru ka ? %mov:"30001"_682013_683247
  4. CHIdoko ni ? %mov:"30001"_1771003_1774770
    CHIdoko ni yuuta ? %mov:"30001"_1773621_1778277
    FAT*FAT: moo sakki yuuta kara moo yuwanai ne . %mov:"30001"_1778277_1780658
    CHIdoko ni yuuta yuuteru yaro ! %mov:"30001"_1780658_1786623
    FATboon@o yuuta na ? %mov:"30001"_1785033_1787712
  5. FATare ? %mov:"30001"_2817947_2819958
    FATokashii na . %mov:"30001"_2819958_2820739
    FAT*FAT: mokkai [: moo ikkai] . %mov:"30001"_2820739_2821282
    FAThora, yuuta . %mov:"30001"_2821282_2823021
    CHIaa, akan no . %mov:"30001"_2823021_2827843
  6. FATmotto suupaakaa nakatta ? %mov:"30001"_2880664_2907305
    CHIan ? %mov:"30001"_2907305_2909275
    FAT*FAT: suupaakaa moo nakatta . %mov:"30001"_2909275_2910329
    CHIii yo . %mov:"30001"_2910329_2911519
    FATmotto atta ? %mov:"30001"_2911519_2912146

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_ishii3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30001.chaJun 3;0.012,592683.09

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. moo8 · 100.0%