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. dore desu ka ? %mov:"20323"_125729_125729 FAT · japanese_ishii/20323.cha, line 84 · Jun 2;03
  2. kondo wa nani desu ka ? %mov:"20323"_1226942_1228558 FAT · japanese_ishii/20323.cha, line 662 · Jun 2;03
  1. japanese_ishii/20323.cha, line 84 · Jun, 2;3.23
    CHIjidoosha xxx koe mitae jidoosha atta . %mov:"20323"_112660_119355
    FATn ? %mov:"20323"_119355_125729
    FAT*FAT: dore desu ka ? %mov:"20323"_125729_125729
    CHIkoe idoosha . %mov:"20323"_128114_129652
    FATohana deta ? %mov:"20323"_129652_135161
  2. japanese_ishii/20323.cha, line 662 · Jun, 2;3.23
    FATowari . %mov:"20323"_1223805_1224349
    CHIkondo wa au . %mov:"20323"_1224349_1226942
    FAT*FAT: kondo wa nani desu ka ? %mov:"20323"_1226942_1228558
    CHIkondo wa [>] ? %mov:"20323"_1228558_1233978
    FATxxx [<] . %mov:"20323"_1228558_1233978

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. desu2 · 100.0%