PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (354 utterances, 874 words searched).

  1. kore nan da,, kore wa ? %mov:"20323"_546109_547002 FAT · japanese_ishii/20323.cha, line 305 · Jun 2;03
  2. honto da . %mov:"20323"_1064461_1065333 FAT · japanese_ishii/20323.cha, line 552 · Jun 2;03
  1. japanese_ishii/20323.cha, line 305 · Jun, 2;3.23
    FATsore yaki'imo chigau yan . %mov:"20323"_543143_544459
    CHIkoko yakiimo ? %mov:"20323"_544459_546109
    FAT*FAT: kore nan da,, kore wa ? %mov:"20323"_546109_547002
    FATbasu yaro ? %mov:"20323"_547002_547826
    CHIn ? %mov:"20323"_547826_549185
  2. japanese_ishii/20323.cha, line 552 · Jun, 2;3.23
    CHIhoe [>] ! %mov:"20323"_1061454_1064461
    FATa [<] ! %mov:"20323"_1061454_1064461
    FAT*FAT: honto da . %mov:"20323"_1064461_1065333
    FATkikansha atta ne,, konnan ? %mov:"20323"_1065333_1067536
    FATJunkun, atta ne ? %mov:"20323"_1067536_1069790

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_ishii2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20323.chaJun 2;3.23874222.29

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. da2 · 100.0%