PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. and that's Nana ! MOT · eng_USA_Brown/sarah038.cha, line 41 · Sarah 2;11
  2. Nana ? MOT · eng_USA_Brown/sarah038.cha, line 79 · Sarah 2;11
  3. xxx we'll put Nana in the xxx . MOT · eng_USA_Brown/sarah038.cha, line 85 · Sarah 2;11
  4. that's Nana . MOT · eng_USA_Brown/sarah038.cha, line 88 · Sarah 2;11
  1. eng_USA_Brown/sarah038.cha, line 41 · Sarah, 2;11.23
    MOTthat's Sarah +...
    CHIdat Sarah .
    MOT*MOT: and that's Nana !
    CHINana .
    MOTyeah .
  2. eng_USA_Brown/sarah038.cha, line 79 · Sarah, 2;11.23
    CHIdat one .
    MOTwhat one ?
    MOT*MOT: Nana ?
    CHIdat one up # dere .
    MOToh # that's Mumma .
  3. eng_USA_Brown/sarah038.cha, line 85 · Sarah, 2;11.23
    CHIdat one up # dere .
    MOToh # that's Mumma .
    MOT*MOT: xxx we'll put Nana in the xxx .
    MOTthat's Nana .
    CHIdat one .
  4. eng_USA_Brown/sarah038.cha, line 88 · Sarah, 2;11.23
    MOToh # that's Mumma .
    MOTxxx we'll put Nana in the xxx .
    MOT*MOT: that's Nana .
    CHIdat one .
    MOTDaddy ?

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. Sarah eng_USA_Brown4.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985444.06

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. nana4 · 100.0%