PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 2,083 words searched).

  1. that's very handsome . MEL · eng_USA_Brown/sarah124.cha, line 29 · Sarah 4;09
  2. a very good job . MEL · eng_USA_Brown/sarah124.cha, line 573 · Sarah 4;09
  3. very good . MOT · eng_USA_Brown/sarah124.cha, line 771 · Sarah 4;09
  4. very good . MOT · eng_USA_Brown/sarah124.cha, line 792 · Sarah 4;09
  5. oh she's very quiet # yeah . MOT · eng_USA_Brown/sarah124.cha, line 963 · Sarah 4;09
  6. she's not a very good roller . MOT · eng_USA_Brown/sarah124.cha, line 1444 · Sarah 4;09
  1. eng_USA_Brown/sarah124.cha, line 29 · Sarah, 4;9.12
    MELyou do ?
    CHIuhhuh .
    MEL*MEL: that's very handsome .
    CHIsee # it was like this # huh .
    CHInow it's like # this !
  2. eng_USA_Brown/sarah124.cha, line 573 · Sarah, 4;9.12
    GAIright !
    MELgood .
    MEL*MEL: a very good job .
    CHInow I know how to spell somethin(g) .
    MELthat's a long word too # isn't it ?
  3. eng_USA_Brown/sarah124.cha, line 771 · Sarah, 4;9.12
    CHIe@l .
    CHIj@l e@l r@l r@l y@l .
    MOT*MOT: very good .
    MOTI didn't think she'd remember .
    MOTshe came out with that last night .
  4. eng_USA_Brown/sarah124.cha, line 792 · Sarah, 4;9.12
    CHIa@l n@l n@l .
    MOTright .
    MOT*MOT: very good .
    CHII know how to spell both of them but Ann is # so easy # huh ?
    GAImmhm .
  5. eng_USA_Brown/sarah124.cha, line 963 · Sarah, 4;9.12
    MELmmhm .
    MELyeah # real quiet .
    MOT*MOT: oh she's very quiet # yeah .
    MELI think she and Sarah look a lot alike .
    MOTthe eyes # yeah .
  6. eng_USA_Brown/sarah124.cha, line 1444 · Sarah, 4;9.12
    MELwhy don't you get over there an(d) I'll roll it .
    MELwhoops .
    MOT*MOT: she's not a very good roller .
    MELthat was a good roll .
    MELyou're pretty good at this .

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_Brown2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.122,083662.88

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. very6 · 100.0%