PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. are you gonna draw ? MEL · eng_USA_Brown/sarah122.cha, line 69 · Sarah 4;08
  2. Mother was really gonna buy her a chicken . MOT · eng_USA_Brown/sarah122.cha, line 569 · Sarah 4;08
  3. well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry Robin ? MOT · eng_USA_Brown/sarah122.cha, line 939 · Sarah 4;08
  4. it's gonna be a bird # if I can remember . MEL · eng_USA_Brown/sarah122.cha, line 1127 · Sarah 4;08
  5. you're gonna pull his tail off in a minute . MEL · eng_USA_Brown/sarah122.cha, line 1310 · Sarah 4;08
  1. eng_USA_Brown/sarah122.cha, line 69 · Sarah, 4;8.20
    CHII just wanna show ya .
    GAIaah fine # that's a good idea .
    MEL*MEL: are you gonna draw ?
    MOTwant some tea # Melissa ?
    MELmmhm # I'd love some .
  2. eng_USA_Brown/sarah122.cha, line 569 · Sarah, 4;8.20
    MOT+" okay .
    MOTthey wouldn't sell em though .
    MOT*MOT: Mother was really gonna buy her a chicken .
    MELthey were just for show ?
    MOTyeah .
  3. eng_USA_Brown/sarah122.cha, line 939 · Sarah, 4;8.20
    CHIno more .
    MOTno more ?
    MOT*MOT: well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry Robin ?
    CHIDonna's gonna marry him # but I'm gonna marry him faster .
    MELgreat !
  4. eng_USA_Brown/sarah122.cha, line 1127 · Sarah, 4;8.20
    CHIoh # no .
    CHIwhat is it ?
    MEL*MEL: it's gonna be a bird # if I can remember .
    MELyou can make it look like it's flying # too .
    CHIoh brother .
  5. eng_USA_Brown/sarah122.cha, line 1310 · Sarah, 4;8.20
    MOTeverybody used to go into hysterics laughin(g) .
    MOTCarol .
    MEL*MEL: you're gonna pull his tail off in a minute .
    MOTtake it easy .
    MOTyou'll break it .

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_Brown2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717552.91

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. gonna5 · 100.0%