PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,805 words searched).

  1. yeah # they're like night and day . MOT · eng_USA_Brown/sarah085.cha, line 420 · Sarah 3;11
  2. they're they're goin(g) over to Boston to get him . MOT · eng_USA_Brown/sarah085.cha, line 554 · Sarah 3;11
  3. they're they're goin(g) over to Boston to get him . MOT · eng_USA_Brown/sarah085.cha, line 554 · Sarah 3;11
  4. (a)n(d) then they're goin(g) to go down (a)n(d) see Nana . MOT · eng_USA_Brown/sarah085.cha, line 561 · Sarah 3;11
  5. they're on television # the Flintstones . MOT · eng_USA_Brown/sarah085.cha, line 1563 · Sarah 3;11
  6. now they're spilling . MEL · eng_USA_Brown/sarah085.cha, line 1581 · Sarah 3;11
  1. eng_USA_Brown/sarah085.cha, line 420 · Sarah, 3;11.16
    MOTthere's six months between them .
    MELoh that's close .
    MOT*MOT: yeah # they're like night and day .
    CHIxxx .
    CHII want to xxx .
  2. eng_USA_Brown/sarah085.cha, line 554 · Sarah, 3;11.16
    CHIbut who's going to drive ?
    MOTUncle_Billy (a)n(d) Auntie_Patty (a)n(d) Uncle # Auntie_Marilyn .
    MOT*MOT: they're they're goin(g) over to Boston to get him .
    CHIoh how_come ?
    MOTxxx Nana's .
  3. eng_USA_Brown/sarah085.cha, line 561 · Sarah, 3;11.16
    CHIoh how_come ?
    MOTxxx Nana's .
    MOT*MOT: (a)n(d) then they're goin(g) to go down (a)n(d) see Nana .
    CHIwho's gonna drive ?
    MOTUncle_Billy .
  4. eng_USA_Brown/sarah085.cha, line 1563 · Sarah, 3;11.16
    MOTshe'd say # +"/.
    MOT+" you know Pebble and Bam_Bam .
    MOT*MOT: they're on television # the Flintstones .
    MELoh yeah .
    MELI've only seen it in a comic+strip .
  5. eng_USA_Brown/sarah085.cha, line 1581 · Sarah, 3;11.16
    MELoh I see .
    MELthat's # on the bottom too .
    MEL*MEL: now they're spilling .
    CHIpush up # he's not spilling .
    MELthere he spilled .

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_Brown3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah085.chaSarah 3;11.161,805563.32

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. they're6 · 100.0%