PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,099 words searched).

  1. asobo ne ? %mov:"20511"_183038_183934 FAT · japanese_ishii/20511.cha, line 112 · Jun 2;05
  2. nani shite asobo ? %mov:"20511"_183934_185011 FAT · japanese_ishii/20511.cha, line 113 · Jun 2;05
  1. japanese_ishii/20511.cha, line 112 · Jun, 2;5.11
    FATun . %mov:"20511"_181146_181886
    CHIashobo ne ? %mov:"20511"_181886_183038
    FAT*FAT: asobo ne ? %mov:"20511"_183038_183934
    FATnani shite asobo ? %mov:"20511"_183934_185011
    CHIkeeki shun no . %mov:"20511"_185011_188083
  2. japanese_ishii/20511.cha, line 113 · Jun, 2;5.11
    CHIashobo ne ? %mov:"20511"_181886_183038
    FATasobo ne ? %mov:"20511"_183038_183934
    FAT*FAT: nani shite asobo ? %mov:"20511"_183934_185011
    CHIkeeki shun no . %mov:"20511"_185011_188083
    FATe ? %mov:"20511"_188083_188511

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_ishii1.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20511.chaJun 2;5.111,099221.82

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. asobo2 · 100.0%