PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.81 per 1,000 words of the child (CHI), in 1 of 1 transcripts (295 utterances, 896 words searched).

  1. (a)n(d) you're gonna have a haircut . CHI · eng_USA_Brown/sarah085.cha, line 777 · Sarah 3;11
  2. but what do you have ? CHI · eng_USA_Brown/sarah085.cha, line 1392 · Sarah 3;11
  3. we have milk . CHI · eng_USA_Brown/sarah085.cha, line 1396 · Sarah 3;11
  4. you have orange+juice . CHI · eng_USA_Brown/sarah085.cha, line 1402 · Sarah 3;11
  5. we have +... CHI · eng_USA_Brown/sarah085.cha, line 1418 · Sarah 3;11
  6. I have +... CHI · eng_USA_Brown/sarah085.cha, line 1450 · Sarah 3;11
  7. they have don('t) know right here . CHI · eng_USA_Brown/sarah085.cha, line 1549 · Sarah 3;11
  1. MOTSarah's gonna have a haircut .
    MELmmhm .
    CHI*CHI: (a)n(d) you're gonna have a haircut .
    MOTI'm surprised your Grandmother didn't cut it over the weekend # when you were down there .
    MOTshe's always sayin(g) # +"/.
  2. MOTwe don't have any gum .
    MOTwe don't have anything .
    CHI*CHI: but what do you have ?
    MOTwe don't have anything .
    CHIwe have milk .
  3. CHIbut what do you have ?
    MOTwe don't have anything .
    CHI*CHI: we have milk .
    MOTthat's about the size of it .
    MOTmilk .
  4. MOTthat's about the size of it .
    MOTmilk .
    CHI*CHI: you have orange+juice .
    MOTyeah we have orange +...
    MOToh I bought you orange+juice # it's down the beach .
  5. MOTyeah .
    MOTwe've got lots of things .
    CHI*CHI: we have +...
    MOTwe got pickles (a)n(d) # lots of junk .
    CHIMama [/] # Mama # Ma +...
  6. CHI(a)n(d) I had eggs # same thing .
    CHIuh # I get the same thing .
    CHI*CHI: I have +...
    MOTwant some orange+juice ?
    MOTMelissa ?
  7. CHIwhere ?
    CHIxxx .
    CHI*CHI: they have don('t) know right here .
    CHI<see # see # see # see # see # see> [/] # see .
    MOTKent [/] # Kent was so funny whe(n) [?] that's Pebbles and Bam_Bam # the Pebbles and Bam_Bam doll # 0of course he didn't know anything more about Pebbles and Bam_Bam than Adam and Eve .

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. Sarah eng_USA_Brown7.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.16896777.81

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. have7 · 100.0%