PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,339 words searched).

  1. waipaa tsuiteru ka ? %mov:"30327"_1426622_1427973 FAT · japanese_ishii/30327.cha, line 624 · Jun 3;03
  2. hikooki waipaa ka ? %mov:"30327"_2710278_2711825 FAT · japanese_ishii/30327.cha, line 1030 · Jun 3;03
  3. hikooki ni mo waipaa tsuiteru yo . %mov:"30327"_2712765_2716463 FAT · japanese_ishii/30327.cha, line 1033 · Jun 3;03
  4. waipaa de ne +... %mov:"30327"_2718750_2721202 FAT · japanese_ishii/30327.cha, line 1035 · Jun 3;03
  5. jitensha waipaa aru ka ? %mov:"30327"_2722955_2730136 FAT · japanese_ishii/30327.cha, line 1038 · Jun 3;03
  1. CHIissho ni . %mov:"30327"_1407198_1409903
    CHIwaipaa . %mov:"30327"_1409903_1426622
    FAT*FAT: waipaa tsuiteru ka ? %mov:"30327"_1426622_1427973
    CHIun . %mov:"30327"_1427973_1428909
    FATa, honto . %mov:"30327"_1428909_1431254
  2. FATun . %mov:"30327"_2706344_2707563
    CHIhikooki waipaa aru ka ? %mov:"30327"_2707563_2710278
    FAT*FAT: hikooki waipaa ka ? %mov:"30327"_2710278_2711825
    CHIun . %mov:"30327"_2711825_2711825
    FATaru yo . %mov:"30327"_2712209_2712765
  3. CHIun . %mov:"30327"_2711825_2711825
    FATaru yo . %mov:"30327"_2712209_2712765
    FAT*FAT: hikooki ni mo waipaa tsuiteru yo . %mov:"30327"_2712765_2716463
    FATame futtekitara mienai yaro,, mae ga . %mov:"30327"_2716463_2718750
    FATwaipaa de ne +... %mov:"30327"_2718750_2721202
  4. FAThikooki ni mo waipaa tsuiteru yo . %mov:"30327"_2712765_2716463
    FATame futtekitara mienai yaro,, mae ga . %mov:"30327"_2716463_2718750
    FAT*FAT: waipaa de ne +... %mov:"30327"_2718750_2721202
    CHIun . %mov:"30327"_2721202_2721795
    FATmieru yoo ni suru ne . %mov:"30327"_2721795_2722955
  5. CHIun . %mov:"30327"_2721202_2721795
    FATmieru yoo ni suru ne . %mov:"30327"_2721795_2722955
    FAT*FAT: jitensha waipaa aru ka ? %mov:"30327"_2722955_2730136
    CHInai . %mov:"30327"_2730136_2731567
    FATnai naa ? %mov:"30327"_2731567_2733404

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_ishii3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30327.chaJun 3;3.271,339553.73

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. waipaa5 · 100.0%