PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. I haven't seen it . MOT · eng_USA_Brown/sarah124.cha, line 240 · Sarah 4;09
  2. I've never seen a tire like it . MOT · eng_USA_Brown/sarah124.cha, line 421 · Sarah 4;09
  3. had you ever seen Danny before # Sarah ? MOT · eng_USA_Brown/sarah124.cha, line 843 · Sarah 4;09
  4. have you ever seen Danny before ? MEL · eng_USA_Brown/sarah124.cha, line 848 · Sarah 4;09
  5. she hasn't seen him yet . MOT · eng_USA_Brown/sarah124.cha, line 857 · Sarah 4;09
  6. you haven't seen their new house # have you ? MOT · eng_USA_Brown/sarah124.cha, line 1056 · Sarah 4;09
  7. yeah # but you haven't seen it since they lived in it . MOT · eng_USA_Brown/sarah124.cha, line 1062 · Sarah 4;09
  1. MOTdid you see his haircut ?
    CHI0 .
    MOT*MOT: I haven't seen it .
    MOThe's cute # isn't he ?
    CHIyeah .
  2. CHII think I did .
    MOTit was terrible .
    MOT*MOT: I've never seen a tire like it .
    CHI<now I'm gonna> [/] now I'm gonna write somethin(g) on em .
    CHIdo they like [//] look plain to you ?
  3. MOThmm ?
    CHIyeah .
    MOT*MOT: had you ever seen Danny before # Sarah ?
    CHIhuh ?
    MELhave you ever seen Danny before ?
  4. MOThad you ever seen Danny before # Sarah ?
    CHIhuh ?
    MEL*MEL: have you ever seen Danny before ?
    CHInope # huh ?
    MELhow did he look ?
  5. MELhow did he look ?
    CHII don't know .
    MOT*MOT: she hasn't seen him yet .
    MELwasn't he up there when she went up ?
    GAIshe didn't go .
  6. CHIwhere ?
    MOTup to Aunt Elaine's .
    MOT*MOT: you haven't seen their new house # have you ?
    CHIyes # I did .
    MOTyeah # but you haven't seen it since they lived in it .
  7. MOTyou haven't seen their new house # have you ?
    CHIyes # I did .
    MOT*MOT: yeah # but you haven't seen it since they lived in it .
    MOTthey're livin(g) in it yet # now .
    CHInot now ?

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_Brown3.36
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah124.chaSarah 4;9.122,083773.36

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. seen7 · 100.0%