PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (118 utterances, 308 words searched).

  1. nai naa . %mov:"10616"_120461_126151 FAT · japanese_ishii/10616.cha, line 85 · Jun 1;06
  2. nai naa . %mov:"10616"_126151_127971 FAT · japanese_ishii/10616.cha, line 87 · Jun 1;06
  1. japanese_ishii/10616.cha, line 85 · Jun, 1;6.16
    FATputchiin@o suru no (ga) nai nee . %mov:"10616"_115655_117065
    FATare ? %mov:"10616"_117065_120461
    FAT*FAT: nai naa . %mov:"10616"_120461_126151
    FATnai naa . %mov:"10616"_126151_127971
    FATdoko (e) itta no ka na . %mov:"10616"_127971_130027
  2. japanese_ishii/10616.cha, line 87 · Jun, 1;6.16
    FATare ? %mov:"10616"_117065_120461
    FATnai naa . %mov:"10616"_120461_126151
    FAT*FAT: nai naa . %mov:"10616"_126151_127971
    FATdoko (e) itta no ka na . %mov:"10616"_127971_130027
    FATa ! %mov:"10616"_130027_130494

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_ishii6.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10616.chaJun 1;6.16308226.49

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. naa2 · 100.0%