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 dare ga tsukutta no ? %mov:"20323"_20411_23726 FAT · japanese_ishii/20323.cha, line 25 · Jun 2;03
  2. dare ga Baachan to nenne shiten no ? %mov:"20323"_770619_772621 FAT · japanese_ishii/20323.cha, line 416 · Jun 2;03
  1. japanese_ishii/20323.cha, line 25 · Jun, 2;3.23
    FATtonneru ? %mov:"20323"_17259_18008
    FATdore ya,, tonneru ? %mov:"20323"_18008_20411
    FAT*FAT: kore dare ga tsukutta no ? %mov:"20323"_20411_23726
    CHIJun wa xxx yuuta n . %mov:"20323"_23726_26752
    FATe ? %mov:"20323"_26752_27316
  2. japanese_ishii/20323.cha, line 416 · Jun, 2;3.23
    FATe ? %mov:"20323"_767991_768516
    CHIBaachan to nenne . %mov:"20323"_768516_770619
    FAT*FAT: dare ga Baachan to nenne shiten no ? %mov:"20323"_770619_772621
    CHIxxx . %mov:"20323"_772621_774413
    FATYakkochan ? %mov:"20323"_774413_774985

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. dare2 · 100.0%