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. sore ga ii no . %mov:"10029"_38334_46692 FAT · japanese_ishii/10029.cha, line 41 · Jun 1;00
  2. ko [: kou] de ii . %mov:"10029"_222979_225282 FAT · japanese_ishii/10029.cha, line 130 · Jun 1;00
  1. japanese_ishii/10029.cha, line 41 · Jun, 1;0.29
    CHIwawa wawa . %mov:"10029"_31664_37600
    FATwawa . %mov:"10029"_37600_38334
    FAT*FAT: sore ga ii no . %mov:"10029"_38334_46692
    FATaitaa ! %mov:"10029"_46692_48893
    FATaitatataa ! %mov:"10029"_48893_51748
  2. japanese_ishii/10029.cha, line 130 · Jun, 1;0.29
    FATkore sugu kokeru naa . %mov:"10029"_220183_222979
    FATkore (wa) sugu (ni) taoreru naa . %mov:"10029"_222979_222979
    FAT*FAT: ko [: kou] de ii . %mov:"10029"_222979_225282
    FATaa aa . %mov:"10029"_225976_228947
    CHIaa aa . %mov:"10029"_228947_230389

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. ii2 · 100.0%