PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (192 utterances, 438 words searched).

  1. kachakacha@o shite . %mov:"00822"_22985_24949 FAT · japanese_ishii/00822.cha, line 23 · Jun 0;08
  2. kachakacha@o a ! %mov:"00822"_31823_32955 FAT · japanese_ishii/00822.cha, line 30 · Jun 0;08
  1. FATnan deshu [: desu] ka,, sore wa . %mov:"00822"_19497_20843
    FATnan deshu [: desu] ka,, kore wa . %mov:"00822"_20843_22985
    FAT*FAT: kachakacha@o shite . %mov:"00822"_22985_24949
    FATkachakachakachakacha@o (wa) doo shun [: shuru] no . %mov:"00822"_24949_26871
    CHIxxx . %mov:"00822"_26871_27908
  2. FATun ? %mov:"00822"_27908_28557
    FATkoo yatte xxx . %mov:"00822"_28557_28557
    FAT*FAT: kachakacha@o a ! %mov:"00822"_31823_32955
    FATdetekitaa . %mov:"00822"_32955_33764
    FATkachakachakacha@o a a a a a a a . %mov:"00822"_33764_36945

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_ishii4.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00822.chaJun 0;8.22438224.57

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. kachakacha2 · 100.0%