PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (221 utterances, 545 words searched).

  1. an ? %mov:"10600"_14607_15320 FAT · japanese_ishii/10600.cha, line 22 · Jun 1;06
  2. wanwan@p no gohon (wa) doko ni an [: aru] no ? %mov:"10600"_193315_198768 FAT · japanese_ishii/10600.cha, line 154 · Jun 1;06
  1. FATbyuwaan [: shinkansen] ka ? %mov:"10600"_10864_12647
    CHIotootyan . %mov:"10600"_12647_14607
    FAT*FAT: an ? %mov:"10600"_14607_15320
    CHIbopo . %mov:"10600"_15320_16097
    FATpopo@o ka . %mov:"10600"_16097_16866
  2. FATanone, wanwan@o no gohon (o) mottekitechoodai . %mov:"10600"_186420_193315
    FATJunkun . %mov:"10600"_193315_196253
    FAT*FAT: wanwan@p no gohon (wa) doko ni an [: aru] no ? %mov:"10600"_193315_198768
    FATwanwan@o no gohon (o) mottekite . %mov:"10600"_198768_201503
    FATarimashita ka,, wanwan@o no gohon (wa) . %mov:"10600"_220901_227106

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_ishii3.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10600.chaJun 1;6.01545223.67

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. an2 · 100.0%