PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (202 utterances, 510 words searched).

  1. baibaai ya ne . %mov:"10704"_214912_216678 FAT · japanese_ishii/10704.cha, line 144 · Jun 1;07
  2. bubuu@o ya ne . %mov:"10704"_283357_284222 FAT · japanese_ishii/10704.cha, line 197 · Jun 1;07
  1. japanese_ishii/10704.cha, line 144 · Jun, 1;7.04
    FATitterasshaai baibaai . %mov:"10704"_211548_213946
    FAThoonto . %mov:"10704"_213946_214912
    FAT*FAT: baibaai ya ne . %mov:"10704"_214912_216678
    CHIuu . %mov:"10704"_216678_218154
    FATOneechan itta ? %mov:"10704"_218154_219164
  2. japanese_ishii/10704.cha, line 197 · Jun, 1;7.04
    FATbasu . %mov:"10704"_279097_281174
    CHIbubuuwa ? %mov:"10704"_281174_283357
    FAT*FAT: bubuu@o ya ne . %mov:"10704"_283357_284222
    FATkore takushii ya nee . %mov:"10704"_284222_285693
    CHIuwauwa . %mov:"10704"_285693_287536

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_ishii3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10704.chaJun 1;7.04510223.92

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. ne2 · 100.0%