PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 572 words searched).

  1. dore,, bububuu@o te . %mov:"10505"_94212_94212 FAT · japanese_ishii/10505.cha, line 81 · Jun 1;05
  2. kakkoi [: kashikoi] nee te . %mov:"10505"_593880_595214 FAT · japanese_ishii/10505.cha, line 328 · Jun 1;05
  1. FATe ? %mov:"10505"_91682_92164
    CHImambubububuu . %mov:"10505"_92164_94212
    FAT*FAT: dore,, bububuu@o te . %mov:"10505"_94212_94212
    CHIbuua . %mov:"10505"_95911_97990
    CHIa ! %mov:"10505"_97990_98946
  2. FATkiekie [: kirei] shiten no . %mov:"10505"_581530_583946
    FATkirekiree shitahan nee,, chaichai (ni) haitte . %mov:"10505"_583946_593880
    FAT*FAT: kakkoi [: kashikoi] nee te . %mov:"10505"_593880_595214
    FATa nan da . %mov:"10505"_595214_598764
    CHIbouaa . %mov:"10505"_598764_603113

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_ishii3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10505.chaJun 1;5.05572223.50

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. te2 · 100.0%