PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. batan@o suru yo . %mov:"11116"_411269_412816 FAT · japanese_ishii/11116.cha, line 295 · Jun 1;11
  2. batan@o shita . %mov:"11116"_501608_502772 FAT · japanese_ishii/11116.cha, line 331 · Jun 1;11
  1. japanese_ishii/11116.cha, line 295 · Jun, 1;11.16
    CHIxxx . %mov:"11116"_398892_409473
    FATabunaai ! %mov:"11116"_409473_411269
    FAT*FAT: batan@o suru yo . %mov:"11116"_411269_412816
    CHIiisango . %mov:"11116"_412816_427298
    CHIxxx . %mov:"11116"_427298_429548
  2. japanese_ishii/11116.cha, line 331 · Jun, 1;11.16
    FATun, koketa . %mov:"11116"_499789_500657
    FATkokechatta ne . %mov:"11116"_500657_501608
    FAT*FAT: batan@o shita . %mov:"11116"_501608_502772
    CHIyoiyoi tta . %mov:"11116"_502772_504076
    FATe ? %mov:"11116"_504076_504606

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. batan2 · 100.0%