PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. Papa no kamera ka ? %mov:"11116"_805329_807996 FAT · japanese_ishii/11116.cha, line 560 · Jun 1;11
  2. soo ka, kamera ya nee . %mov:"11116"_817227_822330 FAT · japanese_ishii/11116.cha, line 567 · Jun 1;11
  1. japanese_ishii/11116.cha, line 560 · Jun, 1;11.16
    FATpapa ? %mov:"11116"_802992_803923
    CHIae. %mov:"11116"_803923_805329
    FAT*FAT: Papa no kamera ka ? %mov:"11116"_805329_807996
    FATputchin@o shita? %mov:"11116"_807996_810191
    CHIpuchin tta . %mov:"11116"_810191_810191
  2. japanese_ishii/11116.cha, line 567 · Jun, 1;11.16
    FATsoo shite . %mov:"11116"_811861_813726
    FATsoo shite puchin@o shita? %mov:"11116"_813726_817227
    FAT*FAT: soo ka, kamera ya nee . %mov:"11116"_817227_822330
    CHIxxx papai . %mov:"11116"_822330_822330
    CHIpopposhusshu . %mov:"11116"_824523_826303

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. kamera2 · 100.0%