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. koo shite +... %mov:"10829"_812825_814205 FAT · japanese_ishii/10829.cha, line 525 · Jun 1;08
  2. hai, koko e nainaai (shite) . %mov:"10829"_875249_878659 FAT · japanese_ishii/10829.cha, line 553 · Jun 1;08
  1. FATyoisho ! %mov:"10829"_811042_811556
    FATkoo shitee +... %mov:"10829"_811556_812825
    FAT*FAT: koo shite +... %mov:"10829"_812825_814205
    FATkore tottegoran . %mov:"10829"_814205_815756
    FATchigau, kore (ga) saki ya . %mov:"10829"_815756_818529
  2. FATkoko (e) hairu ka ? %mov:"10829"_872964_874056
    FAThai, nainaai . %mov:"10829"_874056_875249
    FAT*FAT: hai, koko e nainaai (shite) . %mov:"10829"_875249_878659
    FATnainaai . %mov:"10829"_878659_879923
    FATae [: are] ? %mov:"10829"_879923_881611

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. shite2 · 100.0%