PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (264 utterances, 643 words searched).

  1. aa xx ta . %mov:"10106"_144553_147542 FAT · japanese_ishii/10106.cha, line 125 · Jun 1;01
  2. koko (ni) shoo ka,, wanwan ta +... %mov:"10106"_322304_323901 FAT · japanese_ishii/10106.cha, line 207 · Jun 1;01
  1. japanese_ishii/10106.cha, line 125 · Jun, 1;01.06
    FATjoozu ya nee . %mov:"10106"_138041_140005
    FATuuu@o yuuteru wa . %mov:"10106"_140005_144553
    FAT*FAT: aa xx ta . %mov:"10106"_144553_147542
    FATii naa . %mov:"10106"_147542_149836
    FATii naa . %mov:"10106"_149836_153555
  2. japanese_ishii/10106.cha, line 207 · Jun, 1;01.06
    FATa . %mov:"10106"_320110_321299
    FATwanwan@o tatchi . %mov:"10106"_321299_322304
    FAT*FAT: koko (ni) shoo ka,, wanwan ta +... %mov:"10106"_322304_323901
    FATe, tatchi shita . %mov:"10106"_323901_324624
    CHIa . %mov:"10106"_324624_330964

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_ishii3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10106.chaJun 1;01.06643223.11

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. ta2 · 100.0%