PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (351 utterances, 859 words searched).

  1. gomi ga ? %mov:"20524"_718562_719059 FAT · japanese_ishii/20524.cha, line 333 · Jun 2;05
  2. dore ga gomi yo . %mov:"20524"_720531_721730 FAT · japanese_ishii/20524.cha, line 336 · Jun 2;05
  1. japanese_ishii/20524.cha, line 333 · Jun, 2;5.24
    FATnani ga . %mov:"20524"_714845_715616
    CHIgomi ga tsuiten nee . %mov:"20524"_715616_718562
    FAT*FAT: gomi ga ? %mov:"20524"_718562_719059
    FATdoko ni ? %mov:"20524"_719059_719760
    CHIhore . %mov:"20524"_719760_719760
  2. japanese_ishii/20524.cha, line 336 · Jun, 2;5.24
    FATdoko ni ? %mov:"20524"_719059_719760
    CHIhore . %mov:"20524"_719760_719760
    FAT*FAT: dore ga gomi yo . %mov:"20524"_720531_721730
    CHIkonnan . %mov:"20524"_721730_722423
    FATdenki yan ka ,, kore . %mov:"20524"_722423_724945

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_ishii2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20524.chaJun 2;5.24859222.33

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. gomi2 · 100.0%