PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. doo shitahan no ? %mov:"20029"_483894_483894 FAT · japanese_ishii/20029.cha, line 281 · Jun 2;00
  2. doo shita n ya,, kore . %mov:"20029"_531239_532427 FAT · japanese_ishii/20029.cha, line 310 · Jun 2;00
  1. japanese_ishii/20029.cha, line 281 · Jun, 2;0.29
    FATun ? %mov:"20029"_482337_483367
    CHIhora . %mov:"20029"_483367_483894
    FAT*FAT: doo shitahan no ? %mov:"20029"_483894_483894
    FATaa, sonna shiten no,, ojichan ga . %mov:"20029"_485307_487090
    CHIn ? %mov:"20029"_487090_487902
  2. japanese_ishii/20029.cha, line 310 · Jun, 2;0.29
    FATa ! %mov:"20029"_529132_529132
    CHIataa ya . %mov:"20029"_529865_531239
    FAT*FAT: doo shita n ya,, kore . %mov:"20029"_531239_532427
    CHIJun . %mov:"20029"_532427_532427
    FATmata Jun ga shita no . %mov:"20029"_533253_534654

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. doo2 · 100.0%