PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. are ? %mov:"10021"_170856_180416 FAT · japanese_ishii/10021.cha, line 120 · Jun 1;00
  2. nani,, are (wa) . %mov:"10021"_548518_549569 FAT · japanese_ishii/10021.cha, line 323 · Jun 1;00
  1. japanese_ishii/10021.cha, line 120 · Jun, 1;0.21
    CHIuu uu uu uu . %mov:"10021"_164603_167763
    CHIuu uu uu . %mov:"10021"_167763_170856
    FAT*FAT: are ? %mov:"10021"_170856_180416
    CHIuuta . %mov:"10021"_180416_181753
    FATnani,, sore (wa) . %mov:"10021"_181753_182486
  2. japanese_ishii/10021.cha, line 323 · Jun, 1;0.21
    CHIxxx . %mov:"10021"_544546_548049
    FATun ? %mov:"10021"_548049_548518
    FAT*FAT: nani,, are (wa) . %mov:"10021"_548518_549569
    FATchutchu@o [= bird] ya [: da] na ? %mov:"10021"_549569_551422
    FAThora, chutchu@o [= bird] iru wa . %mov:"10021"_551422_553441

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. are2 · 100.0%