PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. aa, honto, okki shita nee . %mov:"20323"_795868_797193 FAT · japanese_ishii/20323.cha, line 432 · Jun 2;03
  2. aa soo . %mov:"20323"_1116886_1119082 FAT · japanese_ishii/20323.cha, line 592 · Jun 2;03
  1. japanese_ishii/20323.cha, line 432 · Jun, 2;3.23
    CHIokki shita . %mov:"20323"_792301_795218
    FATokki shita . %mov:"20323"_795218_795868
    FAT*FAT: aa, honto, okki shita nee . %mov:"20323"_795868_797193
    FATdoko iku no ? %mov:"20323"_797193_798019
    CHIn ? %mov:"20323"_798019_800073
  2. japanese_ishii/20323.cha, line 592 · Jun, 2;3.23
    CHIkoko kowatta nai . %mov:"20323"_1113688_1115533
    FATun, a, nai no . %mov:"20323"_1115533_1116886
    FAT*FAT: aa soo . %mov:"20323"_1116886_1119082
    FATJun no notta n dore ka nee ? %mov:"20323"_1119082_1132796
    CHIfuun ? %mov:"20323"_1132796_1134592

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_ishii2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874222.29

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. aa2 · 100.0%