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. a # neechan ka,, kore ? %mov:"20029"_369510_372875 FAT · japanese_ishii/20029.cha, line 218 · Jun 2;00
  2. neechan chigau no ? %mov:"20029"_374936_380244 FAT · japanese_ishii/20029.cha, line 221 · Jun 2;00
  1. japanese_ishii/20029.cha, line 218 · Jun, 2;0.29
    FATsore wa dondon@o chau [: chigau] . %mov:"20029"_365067_367714
    CHIchiwa . %mov:"20029"_367714_369510
    FAT*FAT: a # neechan ka,, kore ? %mov:"20029"_369510_372875
    CHIchuwa . %mov:"20029"_372875_373776
    FATdare ? %mov:"20029"_373776_374936
  2. japanese_ishii/20029.cha, line 221 · Jun, 2;0.29
    CHIchuwa . %mov:"20029"_372875_373776
    FATdare ? %mov:"20029"_373776_374936
    FAT*FAT: neechan chigau no ? %mov:"20029"_374936_380244
    FATmoo koohii nai ka ? %mov:"20029"_380244_385087
    CHIn ? %mov:"20029"_385087_386451

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. neechan2 · 100.0%