PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (166 utterances, 313 words searched).

  1. nainaai sun [: suru] no . %mov:"10111"_479392_480400 FAT · japanese_ishii/10111.cha, line 277 · Jun 1;01
  2. daye [: dare] ya [: da] pai@o [: suteru] suru no wa . %mov:"10111"_565702_567823 FAT · japanese_ishii/10111.cha, line 327 · Jun 1;01
  1. CHIaa . %mov:"10111"_475335_476858
    FATa ! %mov:"10111"_476858_476858
    FAT*FAT: nainaai sun [: suru] no . %mov:"10111"_479392_480400
    FATyoshi . %mov:"10111"_479392_480862
    FATbubuu@o wa nainaai . %mov:"10111"_480862_482294
  2. FATnainaai . %mov:"10111"_552600_554048
    FATa ! %mov:"10111"_554048_565702
    FAT*FAT: daye [: dare] ya [: da] pai@o [: suteru] suru no wa . %mov:"10111"_565702_567823
    CHIabuuta . %mov:"10111"_579249_582568
    FATbuu@o ka . %mov:"10111"_582568_583574

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_ishii6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10111.chaJun 1;01.11313226.39

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. suru2 · 100.0%