PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. wanwan@o doko itta ka naa ? %mov:"10008"_61027_63486 FAT · japanese_ishii/10008.cha, line 38 · Jun 1;00
  2. uuuuuu@o (wa) doko itta ? %mov:"10008"_491194_496998 FAT · japanese_ishii/10008.cha, line 269 · Jun 1;00
  1. CHIuwauwawa . %mov:"10008"_57287_59295
    FATuwauwaan . %mov:"10008"_59295_61027
    FAT*FAT: wanwan@o doko itta ka naa ? %mov:"10008"_61027_63486
    CHIu ? %mov:"10008"_63486_65291
    FATsotchi (wa) achiachi@o [: atsuiatrsui] . %mov:"10008"_65291_66177
  2. FATuun ? %mov:"10008"_487393_488157
    FATuuuuuu@o yuuteru [: itte+iru] ka ? %mov:"10008"_488157_491194
    FAT*FAT: uuuuuu@o (wa) doko itta ? %mov:"10008"_491194_496998
    FATattattaa [: atta+atta] . %mov:"10008"_496998_498402
    FATattattaa [: atta+atta] . %mov:"10008"_498402_502987

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_ishii3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.08517223.87

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. itta2 · 100.0%