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. doko ni aru,, ookii buubuu@o . %mov:"20029"_909373_910586 FAT · japanese_ishii/20029.cha, line 547 · Jun 2;00
  2. aru yo . %mov:"20029"_954394_955036 FAT · japanese_ishii/20029.cha, line 564 · Jun 2;00
  1. japanese_ishii/20029.cha, line 547 · Jun, 2;0.29
    CHIookii buubuu . %mov:"20029"_902790_906291
    CHIookii bubuu yo # ookii bubuu . %mov:"20029"_906291_909373
    FAT*FAT: doko ni aru,, ookii buubuu@o . %mov:"20029"_909373_910586
    CHIxxx . %mov:"20029"_910586_910586
    FATmeme . %mov:"20029"_915929_916581
  2. japanese_ishii/20029.cha, line 564 · Jun, 2;0.29
    FATn ? %mov:"20029"_951757_952328
    CHIatchi nai yo ! %mov:"20029"_952328_954394
    FAT*FAT: aru yo . %mov:"20029"_954394_955036
    CHIau ? %mov:"20029"_955036_956303
    FATun . %mov:"20029"_956303_956819

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. aru2 · 100.0%