PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,658 words searched).

  1. now go over there and talk to Melissa . MOT · eng_USA_Brown/sarah131.cha, line 37 · Sarah 4;11
  2. see if she's comin(g) over for supper . MOT · eng_USA_Brown/sarah131.cha, line 637 · Sarah 4;11
  3. think Nana'll come over for supper ? MOT · eng_USA_Brown/sarah131.cha, line 640 · Sarah 4;11
  4. it goes over this side # the loop . MOT · eng_USA_Brown/sarah131.cha, line 701 · Sarah 4;11
  5. start over here # Sarah # and then pull your pencil to me # and then down . GAI · eng_USA_Brown/sarah131.cha, line 735 · Sarah 4;11
  1. eng_USA_Brown/sarah131.cha, line 37 · Sarah, 4;11.13
    MOTwell you'll have to wait a few minutes .
    MOTno # no [/] # not yet # <not yet> [/] .
    MOT*MOT: now go over there and talk to Melissa .
    MELcome in and talk to me # Sarah .
    MELtell me what you've been doing .
  2. eng_USA_Brown/sarah131.cha, line 637 · Sarah, 4;11.13
    CHInow # was I goin(g) # oh yeah # two .
    MOTwe got ta call poor Nana .
    MOT*MOT: see if she's comin(g) over for supper .
    MOTthink Nana'll come over for supper ?
    CHIthat's too fat .
  3. eng_USA_Brown/sarah131.cha, line 640 · Sarah, 4;11.13
    MOTwe got ta call poor Nana .
    MOTsee if she's comin(g) over for supper .
    MOT*MOT: think Nana'll come over for supper ?
    CHIthat's too fat .
    CHIis it too fat ?
  4. eng_USA_Brown/sarah131.cha, line 701 · Sarah, 4;11.13
    CHII'll copy it .
    MOTthat's backwards .
    MOT*MOT: it goes over this side # the loop .
    MOTit goes this way # here .
    CHIhow_come they # they always make it like this ?
  5. eng_USA_Brown/sarah131.cha, line 735 · Sarah, 4;11.13
    MOTan s@l ?
    CHIyeah .
    GAI*GAI: start over here # Sarah # and then pull your pencil to me # and then down .
    GAIto me .
    GAIthat's # nope # nope .

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/sarah131.chaSarah 4;11.131,658553.02

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. over5 · 100.0%