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. baan@o shoo [: shiyou] . %mov:"10111"_147489_151450 FAT · japanese_ishii/10111.cha, line 108 · Jun 1;01
  2. baan@o . %mov:"10111"_350594_353300 FAT · japanese_ishii/10111.cha, line 208 · Jun 1;01
  1. japanese_ishii/10111.cha, line 108 · Jun, 1;01.11
    CHIunyui . %mov:"10111"_143054_144630
    FATpoppo kore ka ? %mov:"10111"_144630_147489
    FAT*FAT: baan@o shoo [: shiyou] . %mov:"10111"_147489_151450
    FAThai . %mov:"10111"_151450_153000
    FATJunkun no xxx, Junkun no buu wa ? %mov:"10111"_153000_155011
  2. japanese_ishii/10111.cha, line 208 · Jun, 1;01.11
    CHIpi . %mov:"10111"_337117_348872
    CHIbuu . %mov:"10111"_348872_350594
    FAT*FAT: baan@o . %mov:"10111"_350594_353300
    CHIxxx . %mov:"10111"_353300_354255
    CHIuuwo . %mov:"10111"_354255_362782

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. baan2 · 100.0%