PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (389 utterances, 1,846 words searched).

  1. look # Adam . MOT · eng_USA_Brown/adam42.cha, line 723 · Adam 4;00
  2. don't you want to look through here # first ? MOT · eng_USA_Brown/adam42.cha, line 846 · Adam 4;00
  3. we need something to look at . MOT · eng_USA_Brown/adam42.cha, line 881 · Adam 4;00
  4. because we're going to look at it under a microscope . URS · eng_USA_Brown/adam42.cha, line 889 · Adam 4;00
  5. can you look through that hole ? MOT · eng_USA_Brown/adam42.cha, line 926 · Adam 4;00
  6. no # look through the hole # honey . MOT · eng_USA_Brown/adam42.cha, line 928 · Adam 4;00
  1. eng_USA_Brown/adam42.cha, line 723 · Adam, 4;0.14
    CHIturning turning driving driving .
    CHIMommy # he's turning left .
    MOT*MOT: look # Adam .
    CHIwhat was he (a)bout to do ?
    CHIdid I missed it ?
  2. eng_USA_Brown/adam42.cha, line 846 · Adam, 4;0.14
    URSmicroscope .
    CHII wonder what dis for # huh ?
    MOT*MOT: don't you want to look through here # first ?
    CHIlook through where ?
    CHIyou see something in dere ?
  3. eng_USA_Brown/adam42.cha, line 881 · Adam, 4;0.14
    CHIit's going up .
    CHIsee ?
    MOT*MOT: we need something to look at .
    CHIdat how it goes .
    URSwe could use a hair .
  4. eng_USA_Brown/adam42.cha, line 889 · Adam, 4;0.14
    URSwe could use a hair .
    CHIwhy you take your hair off ?
    URS*URS: because we're going to look at it under a microscope .
    CHIis dis how you do ?
    CHIyou go +...
  5. eng_USA_Brown/adam42.cha, line 926 · Adam, 4;0.14
    CHIsome little ropes .
    MOTPaul # no # no .
    MOT*MOT: can you look through that hole ?
    MOTno # look through the hole # honey .
    CHIlooks like string .
  6. eng_USA_Brown/adam42.cha, line 928 · Adam, 4;0.14
    MOTPaul # no # no .
    MOTcan you look through that hole ?
    MOT*MOT: no # look through the hole # honey .
    CHIlooks like string .
    MOTdid you see 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. Adam eng_USA_Brown3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam42.chaAdam 4;0.141,846663.25

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. look6 · 100.0%