PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,319 words searched).

  1. all she's been doin(g) is cryin(g) . MOT · eng_USA_Brown/sarah087.cha, line 354 · Sarah 4;00
  2. what color is the xxx . FAT · eng_USA_Brown/sarah087.cha, line 468 · Sarah 4;00
  3. is it on a sleeve ? FAT · eng_USA_Brown/sarah087.cha, line 850 · Sarah 4;00
  4. it is ? MOT · eng_USA_Brown/sarah087.cha, line 883 · Sarah 4;00
  5. her name is Scooter # Sarah # not Bobby . MOT · eng_USA_Brown/sarah087.cha, line 1083 · Sarah 4;00
  6. what is it . MOT · eng_USA_Brown/sarah087.cha, line 1112 · Sarah 4;00
  1. eng_USA_Brown/sarah087.cha, line 354 · Sarah, 4;0.05
    MOTso there'll be wee cryin(g) around here Saturday mornin(g) .
    MOToh .
    MOT*MOT: all she's been doin(g) is cryin(g) .
    MOTshe wants to move # you know .
    MOT(a)n(d) she wants to take everybody with her .
  2. eng_USA_Brown/sarah087.cha, line 468 · Sarah, 4;0.05
    CHIwas pink .
    FATit was pink colored .
    FAT*FAT: what color is the xxx .
    CHIorange .
    FATorange .
  3. eng_USA_Brown/sarah087.cha, line 850 · Sarah, 4;0.05
    MOTdo you like grape tonic ?
    MOTthat's all gooey .
    FAT*FAT: is it on a sleeve ?
    FATgrape ?
    MOTgrape ?
  4. eng_USA_Brown/sarah087.cha, line 883 · Sarah, 4;0.05
    MOTdon't eat it like that .
    CHIgood for ya .
    MOT*MOT: it is ?
    CHImmhm .
    MOTthink so .
  5. eng_USA_Brown/sarah087.cha, line 1083 · Sarah, 4;0.05
    MOTI got # Bobby .
    CHII get Bobby huh ?
    MOT*MOT: her name is Scooter # Sarah # not Bobby .
    MOTwhat's the other one .
    MOTwhat's the one you have ?
  6. eng_USA_Brown/sarah087.cha, line 1112 · Sarah, 4;0.05
    MOTxxx .
    MOT(a)n(d) then she got drowsy .
    MOT*MOT: what is it .
    MOTwhat does Drowsy say ?
    CHII don't know .

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_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah087.chaSarah 4;0.051,319664.55

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. is6 · 100.0%