PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. akai no (ga) tsuiteru [>] ? %mov:"00907"_60554_62227 FAT · japanese_ishii/00907.cha, line 56 · Jun 0;09
  2. akai no wa (a)chii ka ? %mov:"00907"_286529_287620 FAT · japanese_ishii/00907.cha, line 227 · Jun 0;09
  1. FATaa aa . %mov:"00907"_56591_58645
    CHIaa aa . %mov:"00907"_58645_60554
    FAT*FAT: akai no (ga) tsuiteru [>] ? %mov:"00907"_60554_62227
    CHIxxx [<] . %mov:"00907"_60554_62227
    CHIee . %mov:"00907"_62227_62911
  2. FAT(a)chii to chigau,, are (wa) . %mov:"00907"_279943_285188
    FATare wa (a)chii to chigau . %mov:"00907"_285188_286529
    FAT*FAT: akai no wa (a)chii ka ? %mov:"00907"_286529_287620
    FATuun ? %mov:"00907"_287620_289019
    FAT(a)chii (to) chigau yo . %mov:"00907"_289019_291088

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_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559223.58

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. akai2 · 100.0%