PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. kore sonna shitara mata koboreru yo . %mov:"20029"_99122_101645 FAT · japanese_ishii/20029.cha, line 72 · Jun 2;00
  2. mata Jun ga shita no . %mov:"20029"_533253_534654 FAT · japanese_ishii/20029.cha, line 312 · Jun 2;00
  1. japanese_ishii/20029.cha, line 72 · Jun, 2;0.29
    FATkoboreta wa . %mov:"20029"_95147_98111
    CHIn ? %mov:"20029"_98111_99122
    FAT*FAT: kore sonna shitara mata koboreru yo . %mov:"20029"_99122_101645
    FATbatan@o suru zo . %mov:"20029"_101645_103189
    FAThorahorahora, oo ! %mov:"20029"_103189_106872
  2. japanese_ishii/20029.cha, line 312 · Jun, 2;0.29
    FATdoo shita n ya,, kore . %mov:"20029"_531239_532427
    CHIJun . %mov:"20029"_532427_532427
    FAT*FAT: mata Jun ga shita no . %mov:"20029"_533253_534654
    FATwarui nee [>] . %mov:"20029"_534654_537393
    CHIbiibiibiibii ya [<] . %mov:"20029"_534654_537393

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712222.81

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. mata2 · 100.0%