PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 619 words searched).

  1. hai, aato [: arigatou] . %mov:"10829"_77278_80159 FAT · japanese_ishii/10829.cha, line 63 · Jun 1;08
  2. hai, aato [: arigatoo] . %mov:"10829"_478174_478990 FAT · japanese_ishii/10829.cha, line 311 · Jun 1;08
  1. japanese_ishii/10829.cha, line 63 · Jun, 1;8.29
    FATun . %mov:"10829"_75806_76595
    FATjuusu . %mov:"10829"_76595_77278
    FAT*FAT: hai, aato [: arigatou] . %mov:"10829"_77278_80159
    FATaa, oishi . %mov:"10829"_80159_82389
    FATsonnan [: sonnano] iran [: iranai] . %mov:"10829"_82389_85482
  2. japanese_ishii/10829.cha, line 311 · Jun, 1;8.29
    CHIpa . %mov:"10829"_475252_476374
    CHIpa . %mov:"10829"_476374_478174
    FAT*FAT: hai, aato [: arigatoo] . %mov:"10829"_478174_478990
    FATare ? %mov:"10829"_478990_481609
    FATa, kirinsan mo iru no ? %mov:"10829"_481609_491808

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_ishii3.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10829.chaJun 1;8.29619223.23

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. aato2 · 100.0%