PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. kore doo yaro [<] . %mov:"20225"_142371_145287 FAT · japanese_ishii/20225.cha, line 101 · Jun 2;02
  2. kono taiya doo desu ka ? %mov:"20225"_1373335_1376916 FAT · japanese_ishii/20225.cha, line 613 · Jun 2;02
  1. japanese_ishii/20225.cha, line 101 · Jun, 2;2.25
    FATdame naa, kore wa . %mov:"20225"_139771_142371
    CHIkoe [: kore] # koe sho [>] . %mov:"20225"_142371_145287
    FAT*FAT: kore doo yaro [<] . %mov:"20225"_142371_145287
    CHIkore shoo ? %mov:"20225"_145287_146051
    FATkore iku ka naa . %mov:"20225"_146051_146787
  2. japanese_ishii/20225.cha, line 613 · Jun, 2;2.25
    FATsore wa ? %mov:"20225"_1369613_1372170
    FATtaiya daijoobudesu ka ? %mov:"20225"_1372170_1373335
    FAT*FAT: kono taiya doo desu ka ? %mov:"20225"_1373335_1376916
    FATkowaretemasu ka ? %mov:"20225"_1376916_1376916
    CHIxxx . %mov:"20225"_1379186_1385910

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_ishii2.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981222.04

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%