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. hai, wanwan@o ashobimashoo [: asobimashoo] . %mov:"10616"_130494_133513 FAT · japanese_ishii/10616.cha, line 90 · Jun 1;06
  2. Junkun, asobimashoo xxx . %mov:"10616"_142936_145213 FAT · japanese_ishii/10616.cha, line 96 · Jun 1;06
  1. FATdoko (e) itta no ka na . %mov:"10616"_127971_130027
    FATa ! %mov:"10616"_130027_130494
    FAT*FAT: hai, wanwan@o ashobimashoo [: asobimashoo] . %mov:"10616"_130494_133513
    FATkore (wa) kubi ga tore soo ya . %mov:"10616"_133513_137383
    FATyoshi . %mov:"10616"_137383_140656
  2. FATyoshi . %mov:"10616"_137383_140656
    FATwanwan@o yoo . %mov:"10616"_140656_142936
    FAT*FAT: Junkun, asobimashoo xxx . %mov:"10616"_142936_145213
    CHIwaa . %mov:"10616"_145213_147350
    FATun . %mov:"10616"_147350_147601

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. asobimashoo2 · 100.0%