PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. nan deshu [: nani desu] ka,, sore wa . %mov:"10021"_184334_188858 FAT · japanese_ishii/10021.cha, line 125 · Jun 1;00
  2. nan ya [: da] . %mov:"10021"_918160_918750 FAT · japanese_ishii/10021.cha, line 501 · Jun 1;00
  1. japanese_ishii/10021.cha, line 125 · Jun, 1;0.21
    FATnani,, sore (wa) . %mov:"10021"_181753_182486
    FATn ? %mov:"10021"_182486_184334
    FAT*FAT: nan deshu [: nani desu] ka,, sore wa . %mov:"10021"_184334_188858
    FATJunkun . %mov:"10021"_188858_192679
    FATaa ? %mov:"10021"_196856_197867
  2. japanese_ishii/10021.cha, line 501 · Jun, 1;0.21
    CHIa . %mov:"10021"_915279_916224
    CHIdyadyadaa . %mov:"10021"_915279_918160
    FAT*FAT: nan ya [: da] . %mov:"10021"_918160_918750
    CHIoa . %mov:"10021"_918750_919199
    FATun ? %mov:"10021"_919199_920105

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. nan2 · 100.0%