PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 832 words searched).

  1. haai, basu mata kimashita yoo . %mov:"20327"_404414_406733 FAT · japanese_ishii/20327.cha, line 239 · Jun 2;03
  2. hai, densha kimashita yoo . %mov:"20327"_616048_618135 FAT · japanese_ishii/20327.cha, line 340 · Jun 2;03
  1. FAThai # haai [<] . %mov:"20327"_394833_397487
    CHIbashu koko yoo . %mov:"20327"_397487_397487
    FAT*FAT: haai, basu mata kimashita yoo . %mov:"20327"_404414_406733
    FATnikainobasu ikimasu yoo . %mov:"20327"_406733_406733
    CHIhaitta . %mov:"20327"_412009_415828
  2. FATsonnan shitara akan . %mov:"20327"_613902_614817
    CHIn ? %mov:"20327"_614817_616048
    FAT*FAT: hai, densha kimashita yoo . %mov:"20327"_616048_618135
    CHIbashu atau yoo ! %mov:"20327"_618135_627349
    FATabunai yoo . %mov:"20327"_627349_628432

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_ishii2.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20327.chaJun 2;3.27832222.40

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. kimashita2 · 100.0%