PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (159 utterances, 369 words searched).

  1. motto takusan doko (e) itta no ka naa . %mov:"10220"_117652_119607 FAT · japanese_ishii/10220.cha, line 68 · Jun 1;02
  2. e ? %mov:"10220"_492009_492431 FAT · japanese_ishii/10220.cha, line 278 · Jun 1;02
  1. japanese_ishii/10220.cha, line 68 · Jun, 1;02.02
    FATn ? %mov:"10220"_114157_116147
    FATxxx takaitakaai shoo ka . %mov:"10220"_116147_117652
    FAT*FAT: motto takusan doko (e) itta no ka naa . %mov:"10220"_117652_119607
    FAThora . %mov:"10220"_119607_121600
    FATyoshi . %mov:"10220"_121600_123016
  2. japanese_ishii/10220.cha, line 278 · Jun, 1;02.02
    CHIe . %mov:"10220"_488407_489378
    CHIunnadandanneyu . %mov:"10220"_489378_492009
    FAT*FAT: e ? %mov:"10220"_492009_492431
    FATbarabara ni sun [: suru] no ? %mov:"10220"_492431_493841
    FATaa aa sun [: suru] no ? %mov:"10220"_493841_496215

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_ishii5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10220.chaJun 1;02.02369225.42

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%