PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. you wrapped it for me . MEL · eng_USA_Brown/sarah109.cha, line 142 · Sarah 4;05
  2. tell me . GAI · eng_USA_Brown/sarah109.cha, line 402 · Sarah 4;05
  3. tell me . GAI · eng_USA_Brown/sarah109.cha, line 426 · Sarah 4;05
  4. so my cousin tells me he said # +"/. MOT · eng_USA_Brown/sarah109.cha, line 601 · Sarah 4;05
  5. +" your wife gave it to me for Christmas . MOT · eng_USA_Brown/sarah109.cha, line 609 · Sarah 4;05
  6. +" your [?] wife [?] gave it to me for Christmas . MOT · eng_USA_Brown/sarah109.cha, line 614 · Sarah 4;05
  1. eng_USA_Brown/sarah109.cha, line 142 · Sarah, 4;5.14
    MELoh thank+you .
    CHII wrapped it for ya .
    MEL*MEL: you wrapped it for me .
    MELit's a good job .
    CHI(be)cause I +...
  2. eng_USA_Brown/sarah109.cha, line 402 · Sarah, 4;5.14
    CHIum .
    CHI<I get a> [//] y(ou) know what I'm goin(g) do now ?
    GAI*GAI: tell me .
    CHII can't tell ya after I make .
    CHI<it's somethin(g)> [//] I need white (a)n(d) black .
  3. eng_USA_Brown/sarah109.cha, line 426 · Sarah, 4;5.14
    GAIcherry ?
    CHIno .
    GAI*GAI: tell me .
    CHIa apple .
    GAIoh .
  4. eng_USA_Brown/sarah109.cha, line 601 · Sarah, 4;5.14
    MELthat's a good idea .
    MOTand she had that Baby_First_Step doll with her ?
    MOT*MOT: so my cousin tells me he said # +"/.
    MOT+" Sarah # where'd ya get the doll ?
    MOTshe says # +"/.
  5. eng_USA_Brown/sarah109.cha, line 609 · Sarah, 4;5.14
    MOT+" Sarah # where'd ya get the doll ?
    MOTshe says # +"/.
    MOT*MOT: +" your wife gave it to me for Christmas .
    MOTnot Auntie_Marilyn .
    MOT+" your [?] wife [?] gave it to me for Christmas .
  6. eng_USA_Brown/sarah109.cha, line 614 · Sarah, 4;5.14
    MOT+" your wife gave it to me for Christmas .
    MOTnot Auntie_Marilyn .
    MOT*MOT: +" your [?] wife [?] gave it to me for Christmas .
    MOTxxx .
    MOToh # that one !

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_Brown4.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363664.40

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. me6 · 100.0%