PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (183 utterances, 497 words searched).

  1. dore ya [: da],, aa aa aa tte . %mov:"10011"_52250_54118 FAT · japanese_ishii/10011.cha, line 49 · Jun 1;00
  2. dore ga aa aa aa ? %mov:"10011"_715233_717605 FAT · japanese_ishii/10011.cha, line 366 · Jun 1;00
  1. FATxxx kotchi (e) oide [>] . %mov:"10011"_49671_52250
    CHIaa aa aa [<] . %mov:"10011"_49671_52250
    FAT*FAT: dore ya [: da],, aa aa aa tte . %mov:"10011"_52250_54118
    FATa, kore ka ? %mov:"10011"_54118_55817
    FAThai, shite kudasai . %mov:"10011"_55817_62402
  2. CHIaa aa aa . %mov:"10011"_712571_714486
    FATun ? %mov:"10011"_714486_715233
    FAT*FAT: dore ga aa aa aa ? %mov:"10011"_715233_717605
    CHIbuubuu . %mov:"10011"_726548_729878
    FATun, buubuu . %mov:"10011"_729878_731008

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_ishii4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10011.chaJun 1;0.11497224.02

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. dore2 · 100.0%