PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 953 words searched).

  1. are ! %mov:"20118"_170138_171032 FAT · japanese_ishii/20118.cha, line 128 · Jun 2;01
  2. are, poposhusshu@o doko itta ka naa . %mov:"20118"_680719_684456 FAT · japanese_ishii/20118.cha, line 443 · Jun 2;01
  1. FATkowai . %mov:"20118"_168020_168020
    CHIuwa ! %mov:"20118"_168932_170138
    FAT*FAT: are ! %mov:"20118"_170138_171032
    CHIjooshan yo [>] . %mov:"20118"_171032_173530
    FATzoosan, un [<] . %mov:"20118"_171032_173530
  2. FATwaa, sugoi naa . %mov:"20118"_675747_679273
    FATkankan@o aru naa . %mov:"20118"_679273_680719
    FAT*FAT: are, poposhusshu@o doko itta ka naa . %mov:"20118"_680719_684456
    FATatta attaa . %mov:"20118"_684456_687993
    FATpoposhusshu@o attaa . %mov:"20118"_687993_691109

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_ishii2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20118.chaJun 2;1.18953222.10

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%