PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.73 per 1,000 words of the child (CHI), in 1 of 1 transcripts (726 utterances, 2,561 words searched).

  1. pizzeroni@c . CHI · eng_USA_Brown/eve15.cha, line 2303 · Eve 2;01
  2. I say pizzeroni@c . CHI · eng_USA_Brown/eve15.cha, line 2319 · Eve 2;01
  3. pizzeroni@c right here . CHI · eng_USA_Brown/eve15.cha, line 2435 · Eve 2;01
  4. pizzeroni@c right here . CHI · eng_USA_Brown/eve15.cha, line 2438 · Eve 2;01
  5. no # that's pizzeroni@c . CHI · eng_USA_Brown/eve15.cha, line 2450 · Eve 2;01
  6. pizzeroni@c . CHI · eng_USA_Brown/eve15.cha, line 2563 · Eve 2;01
  7. pizzeroni@c . CHI · eng_USA_Brown/eve15.cha, line 2566 · Eve 2;01
  1. CHIFraser go watch me eat my lunch .
    MOTyes # he'll watch you eat your lunch .
    CHI*CHI: pizzeroni@c .
    MOTwhat ?
    MOTpizzeroni@c ?
  2. CHIyeah .
    MOTwhat did you hear about pizzeroni@c ?
    CHI*CHI: I say pizzeroni@c .
    MOTI know you said pizzeroni@c .
    CHIhi # Fraser .
  3. MOTthey're coming in a fortnight ?
    MOTwell # they're coming in two days .
    CHI*CHI: pizzeroni@c right here .
    CHIpizzeroni@c right here .
    MOTpizzeroni@c right there ?
  4. MOTwell # they're coming in two days .
    CHIpizzeroni@c right here .
    CHI*CHI: pizzeroni@c right here .
    MOTpizzeroni@c right there ?
    MOTthat's cheese .
  5. MOTthat's cheese .
    MOTthat's not pizzeroni@c .
    CHI*CHI: no # that's pizzeroni@c .
    MOTno it's not .
    CHISue # let me have tapioca in noodle soup .
  6. CHImy new pink bibbie .
    MOTyour pink bibbie's dirty .
    CHI*CHI: pizzeroni@c .
    CHIpizzeroni@c .
    COLpizzeroni@c .
  7. MOTyour pink bibbie's dirty .
    CHIpizzeroni@c .
    CHI*CHI: pizzeroni@c .
    COLpizzeroni@c .
    COLwho needs it ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Eve eng_USA_Brown2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.2,561772.73

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. pizzeroni7 · 100.0%