PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (476 utterances, 1,120 words searched).

  1. doko ni bokaan@o te aru . %mov:"11015"_92002_93595 FAT · japanese_ishii/11015.cha, line 101 · Jun 1;10
  2. bokaan ? %mov:"11015"_1536585_1537674 FAT · japanese_ishii/11015.cha, line 858 · Jun 1;10
  1. japanese_ishii/11015.cha, line 101 · Jun, 1;10.15
    FATkore wa ? %mov:"11015"_90582_91407
    CHIbokan . %mov:"11015"_91407_92002
    FAT*FAT: doko ni bokaan@o te aru . %mov:"11015"_92002_93595
    FATdensha . %mov:"11015"_93595_97170
    FATdensha notta nee, Jun . %mov:"11015"_97170_97170
  2. japanese_ishii/11015.cha, line 858 · Jun, 1;10.15
    FATnani,, sore . %mov:"11015"_1533168_1533763
    CHIbokaan . %mov:"11015"_1533763_1536585
    FAT*FAT: bokaan ? %mov:"11015"_1536585_1537674
    CHIbokaan ya . %mov:"11015"_1537674_1538869
    FATsore mo pisutoru ya na . %mov:"11015"_1538869_1540556

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_ishii1.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11015.chaJun 1;10.151,120221.79

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. bokaan2 · 100.0%