PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. let's see . MOT · eng_USA_Brown/sarah020.cha, line 421 · Sarah 2;07
  2. le(t) me see . MOT · eng_USA_Brown/sarah020.cha, line 425 · Sarah 2;07
  3. well # let me see him for a minute . MOT · eng_USA_Brown/sarah020.cha, line 695 · Sarah 2;07
  4. I see you . MOT · eng_USA_Brown/sarah020.cha, line 732 · Sarah 2;07
  5. see # he's got eyes . MOT · eng_USA_Brown/sarah020.cha, line 1039 · Sarah 2;07
  6. see ? MOT · eng_USA_Brown/sarah020.cha, line 1185 · Sarah 2;07
  7. see the rocks ? JOA · eng_USA_Brown/sarah020.cha, line 1464 · Sarah 2;07
  1. eng_USA_Brown/sarah020.cha, line 421 · Sarah, 2;7.05
    MOTwww .
    CHIwho did dat ?
    MOT*MOT: let's see .
    MOTaw !
    MOTle(t) me see .
  2. eng_USA_Brown/sarah020.cha, line 425 · Sarah, 2;7.05
    MOTlet's see .
    MOTaw !
    MOT*MOT: le(t) me see .
    MOTwho did what ?
    MOToh # that's his cut .
  3. eng_USA_Brown/sarah020.cha, line 695 · Sarah, 2;7.05
    CHIBobo@f clown .
    MOTBobo@f the clown .
    MOT*MOT: well # let me see him for a minute .
    MOTyou got him all broken .
    MOTyou pulled his hat off .
  4. eng_USA_Brown/sarah020.cha, line 732 · Sarah, 2;7.05
    MOTwhat do you wanna pull his ears for ?
    MOTwant me to pull your ears like this ?
    MOT*MOT: I see you .
    MOTI got your nose .
    MOToh # I've got your nose .
  5. eng_USA_Brown/sarah020.cha, line 1039 · Sarah, 2;7.05
    MOTyeah # horses don't have fingers .
    JOAhe's got an eye .
    MOT*MOT: see # he's got eyes .
    CHIxxx eye eye he .
    CHIright here .
  6. eng_USA_Brown/sarah020.cha, line 1185 · Sarah, 2;7.05
    CHImy broke it .
    MOToh # I know you broke it .
    MOT*MOT: see ?
    CHIxxx .
    MOTplay it nice .
  7. eng_USA_Brown/sarah020.cha, line 1464 · Sarah, 2;7.05
    CHIcow !
    JOAwhat ?
    JOA*JOA: see the rocks ?
    JOAis that a rock ?
    CHIrocks !

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_Brown5.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236775.66

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. see7 · 100.0%