PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 687 words searched).

  1. Papa kono basu, na ? %mov:"20407"_793377_794479 FAT · japanese_ishii/20407.cha, line 420 · Jun 2;04
  2. kore Papa . %mov:"20407"_796612_797346 FAT · japanese_ishii/20407.cha, line 422 · Jun 2;04
  1. japanese_ishii/20407.cha, line 420 · Jun, 2;4.07
    FATun . %mov:"20407"_791655_792132
    CHIshita ni . %mov:"20407"_792132_793377
    FAT*FAT: Papa kono basu, na ? %mov:"20407"_793377_794479
    CHIkue bashu kondo . %mov:"20407"_794479_796612
    FATkore Papa . %mov:"20407"_796612_797346
  2. japanese_ishii/20407.cha, line 422 · Jun, 2;4.07
    FATPapa kono basu, na ? %mov:"20407"_793377_794479
    CHIkue bashu kondo . %mov:"20407"_794479_796612
    FAT*FAT: kore Papa . %mov:"20407"_796612_797346
    CHIkoko ni nottemi koko buubuu bashu # koko . %mov:"20407"_797346_812082
    CHIna ? %mov:"20407"_812082_812660

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_ishii2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20407.chaJun 2;4.07687222.91

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. papa2 · 100.0%