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. doko (e) itta no ka na . %mov:"10616"_127971_130027 FAT · japanese_ishii/10616.cha, line 88 · Jun 1;06
  2. e ? %mov:"10616"_581210_582770 FAT · japanese_ishii/10616.cha, line 304 · Jun 1;06
  1. japanese_ishii/10616.cha, line 88 · Jun, 1;6.16
    FATnai naa . %mov:"10616"_120461_126151
    FATnai naa . %mov:"10616"_126151_127971
    FAT*FAT: doko (e) itta no ka na . %mov:"10616"_127971_130027
    FATa ! %mov:"10616"_130027_130494
    FAThai, wanwan@o ashobimashoo [: asobimashoo] . %mov:"10616"_130494_133513
  2. japanese_ishii/10616.cha, line 304 · Jun, 1;6.16
    CHIxxx . %mov:"10616"_574735_579370
    CHIyiya . %mov:"10616"_579370_581210
    FAT*FAT: e ? %mov:"10616"_581210_582770
    CHIyi . %mov:"10616"_582770_585499
    FATiku yo [>] ! %mov:"10616"_585499_588822

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. e2 · 100.0%