PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. notta ka na ? %mov:"10721"_507554_509622 FAT · japanese_ishii/10721.cha, line 371 · Jun 1;07
  2. bubuu@o (ni) notta yoo . %mov:"10721"_559473_560722 FAT · japanese_ishii/10721.cha, line 392 · Jun 1;07
  1. FATyoisho ! %mov:"10721"_504217_505793
    FATakan [: dameda] wa,, kore wa . %mov:"10721"_505793_507554
    FAT*FAT: notta ka na ? %mov:"10721"_507554_509622
    FATyoisho, nottanotta . %mov:"10721"_509622_512277
    FATbataan@o . %mov:"10721"_512277_515708
  2. FATnorimashita kaa . %mov:"10721"_554973_558720
    CHIbubuu ? %mov:"10721"_558720_559473
    FAT*FAT: bubuu@o (ni) notta yoo . %mov:"10721"_559473_560722
    CHIbubuu <uu> [>] . %mov:"10721"_560722_563078
    FATaa [<] . %mov:"10721"_560722_563078

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.21593223.37

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. notta2 · 100.0%