PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. your hair looks like somethin(g) I could take off and stick in the washin(g) machine . MOT · eng_USA_Brown/sarah058.cha, line 539 · Sarah 3;04
  2. and # he'd sort of like to take a nap . KEN · eng_USA_Brown/sarah058.cha, line 750 · Sarah 3;04
  3. we have to take her up next week . MOT · eng_USA_Brown/sarah058.cha, line 1076 · Sarah 3;04
  4. just take one out o(f) the three . MOT · eng_USA_Brown/sarah058.cha, line 1415 · Sarah 3;04
  5. well that'll take the color out of your coat . MOT · eng_USA_Brown/sarah058.cha, line 1647 · Sarah 3;04
  6. because that'll take the color off . MOT · eng_USA_Brown/sarah058.cha, line 1678 · Sarah 3;04
  1. MOTyou in the paint .
    MOTlook at your hair .
    MOT*MOT: your hair looks like somethin(g) I could take off and stick in the washin(g) machine .
    MOT<would that> [//] # should I stick your head in the washin(g) machine ?
    CHIno .
  2. KENoh # Bugs told me he was really sleepy .
    KENjust really worn out .
    KEN*KEN: and # he'd sort of like to take a nap .
    KENbut he wondered if you # if you read a bedtime story .
    CHIle(t) go +...
  3. MOToh # yeah .
    MOTFilene's # Jordan's and they have a nice one up in Waltham's Grover Cronin .
    MOT*MOT: we have to take her up next week .
    MOTChristmas comin(g) awful fast this week .
    MOTI didn't even think too much of thought about it until last night .
  4. CHINancy_Nurse .
    MOTwhich one ?
    MOT*MOT: just take one out o(f) the three .
    MOTwhich one ?
    CHIdat .
  5. MOTwhat is your father gonna paint ?
    JOAxxx .
    MOT*MOT: well that'll take the color out of your coat .
    JOAI know .
    JOAtell him that .
  6. MOTtell him to try this .
    MOT# before he tries that .
    MOT*MOT: because that'll take the color off .
    JOAxxx .
    MOThey # Jo_Ann # before ya go will ya go to the store for me ?

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986663.02

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. take6 · 100.0%