PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. fune notta . %mov:"20023"_425365_426209 FAT · japanese_ishii/20023.cha, line 299 · Jun 2;00
  2. fune , un . %mov:"20023"_637042_638260 FAT · japanese_ishii/20023.cha, line 446 · Jun 2;00
  1. japanese_ishii/20023.cha, line 299 · Jun, 2;0.23
    FATuun tte . %mov:"20023"_423208_423985
    CHInnyaban ya . %mov:"20023"_423985_425365
    FAT*FAT: fune notta . %mov:"20023"_425365_426209
    CHIJun yanya . %mov:"20023"_426209_427290
    FATJun ga . %mov:"20023"_427290_427865
  2. japanese_ishii/20023.cha, line 446 · Jun, 2;0.23
    FAThai, kore miyo ka . %mov:"20023"_630797_631841
    CHIoo unee . %mov:"20023"_631841_637042
    FAT*FAT: fune , un . %mov:"20023"_637042_638260
    CHIchau wa . %mov:"20023"_638260_640346
    FATe ? %mov:"20023"_640346_640984

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_ishii2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900222.22

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. fune2 · 100.0%