PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 953 words searched).

  1. fune ? %mov:"20118"_315554_316637 FAT · japanese_ishii/20118.cha, line 232 · Jun 2;01
  2. fune ? %mov:"20118"_327219_328603 FAT · japanese_ishii/20118.cha, line 236 · Jun 2;01
  1. japanese_ishii/20118.cha, line 232 · Jun, 2;1.18
    FAThikooki . %mov:"20118"_313597_314417
    CHIune to . %mov:"20118"_314417_315554
    FAT*FAT: fune ? %mov:"20118"_315554_316637
    CHIdashta . %mov:"20118"_316637_319189
    CHIaochiemenebaka . %mov:"20118"_319189_324324
  2. japanese_ishii/20118.cha, line 236 · Jun, 2;1.18
    CHIaochiemenebaka . %mov:"20118"_319189_324324
    CHIuneba . %mov:"20118"_324324_327219
    FAT*FAT: fune ? %mov:"20118"_327219_328603
    CHInebaabaakoo buubu . %mov:"20118"_328603_332405
    CHIxxx . %mov:"20118"_332405_332979

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_ishii2.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20118.chaJun 2;1.18953222.10

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. fune2 · 100.0%