PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. kore sugu kokeru naa . %mov:"10029"_220183_222979 FAT · japanese_ishii/10029.cha, line 128 · Jun 1;00
  2. kore (wa) sugu (ni) taoreru naa . %mov:"10029"_222979_222979 FAT · japanese_ishii/10029.cha, line 129 · Jun 1;00
  1. FATaa [>] . %mov:"10029"_219134_220183
    CHIbuu [<] . %mov:"10029"_219134_220183
    FAT*FAT: kore sugu kokeru naa . %mov:"10029"_220183_222979
    FATkore (wa) sugu (ni) taoreru naa . %mov:"10029"_222979_222979
    FATko [: kou] de ii . %mov:"10029"_222979_225282
  2. CHIbuu [<] . %mov:"10029"_219134_220183
    FATkore sugu kokeru naa . %mov:"10029"_220183_222979
    FAT*FAT: kore (wa) sugu (ni) taoreru naa . %mov:"10029"_222979_222979
    FATko [: kou] de ii . %mov:"10029"_222979_225282
    FATaa aa . %mov:"10029"_225976_228947

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_ishii3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616223.25

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. sugu2 · 100.0%