PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. joozu ni ne . %mov:"20017"_34511_35727 FAT · japanese_ishii/20017.cha, line 34 · Jun 2;00
  2. joozu ni mane suru ne . %mov:"20017"_282522_283912 FAT · japanese_ishii/20017.cha, line 194 · Jun 2;00
  1. japanese_ishii/20017.cha, line 34 · Jun, 2;0.17
    FAThai . %mov:"20017"_30879_31904
    FATsoko fundara iya yo . %mov:"20017"_31904_34511
    FAT*FAT: joozu ni ne . %mov:"20017"_34511_35727
    FATsoo soo soo . %mov:"20017"_35727_36418
    FATaa . %mov:"20017"_36418_37006
  2. japanese_ishii/20017.cha, line 194 · Jun, 2;0.17
    CHIuun ya . %mov:"20017"_278761_281890
    FATsoo ya . %mov:"20017"_281890_282522
    FAT*FAT: joozu ni mane suru ne . %mov:"20017"_282522_283912
    FATissho ya ne,, kore to . %mov:"20017"_283912_286039
    CHIissho ya nee . %mov:"20017"_286039_287794

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. joozu2 · 100.0%