PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 572 words searched).

  1. mamma (o) tabeten no, honto . %mov:"10505"_40345_41818 FAT · japanese_ishii/10505.cha, line 42 · Jun 1;05
  2. a, honto, mamma ya [: da] nee . %mov:"10505"_360919_362497 FAT · japanese_ishii/10505.cha, line 240 · Jun 1;05
  1. FATe ? %mov:"10505"_38993_39441
    CHImamma . %mov:"10505"_39441_40345
    FAT*FAT: mamma (o) tabeten no, honto . %mov:"10505"_40345_41818
    FATmamma (o) tabeteru nee . %mov:"10505"_41818_43358
    FATkore wa ? %mov:"10505"_43358_44635
  2. FATmamma ? %mov:"10505"_359755_360408
    FATdoko . %mov:"10505"_360408_360919
    FAT*FAT: a, honto, mamma ya [: da] nee . %mov:"10505"_360919_362497
    FATnabeyakiudon, kitsuneudon, supagetti tte kaite aru . %mov:"10505"_362497_366041
    CHIouwa ? %mov:"10505"_366041_366591

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_ishii3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10505.chaJun 1;5.05572223.50

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. honto2 · 100.0%