PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. yoshi, kore miyo ka,, kondo ? %mov:"20108"_456453_457972 FAT · japanese_ishii/20108.cha, line 302 · Jun 2;01
  2. kondo wa nani desu ka ? %mov:"20108"_862742_864134 FAT · japanese_ishii/20108.cha, line 538 · Jun 2;01
  1. japanese_ishii/20108.cha, line 302 · Jun, 2;1.08
    FAThee . %mov:"20108"_454389_455802
    CHIkoe a ? %mov:"20108"_455802_456453
    FAT*FAT: yoshi, kore miyo ka,, kondo ? %mov:"20108"_456453_457972
    FATare ? %mov:"20108"_457972_459201
    FATkore nan da . %mov:"20108"_459201_459717
  2. japanese_ishii/20108.cha, line 538 · Jun, 2;1.08
    CHInainai . %mov:"20108"_860955_861930
    FATnainai sun no ? %mov:"20108"_861930_862742
    FAT*FAT: kondo wa nani desu ka ? %mov:"20108"_862742_864134
    CHIkoe a ? %mov:"20108"_864134_867363
    FATsore nani ? %mov:"20108"_867363_868691

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. kondo2 · 100.0%