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. why don't you come up and sit down ? MEL · eng_USA_Brown/sarah131.cha, line 64 · Sarah 4;11
  2. why don't you put it up here on the table so we can see it ? MEL · eng_USA_Brown/sarah131.cha, line 186 · Sarah 4;11
  3. see # you start up here . MOT · eng_USA_Brown/sarah131.cha, line 712 · Sarah 4;11
  4. you know you're gonna get up there next year # and you're goin(g) (t)a be arguin(g) with the teach… MOT · eng_USA_Brown/sarah131.cha, line 820 · Sarah 4;11
  5. it could be if she did it up # believe me . MOT · eng_USA_Brown/sarah131.cha, line 1128 · Sarah 4;11
  1. eng_USA_Brown/sarah131.cha, line 64 · Sarah, 4;11.13
    CHIdo I got mud on my face # Mama ?
    MOTmmhm .
    MEL*MEL: why don't you come up and sit down ?
    CHIis it too dirty ?
    MELtwo thirty ?
  2. eng_USA_Brown/sarah131.cha, line 186 · Sarah, 4;11.13
    MELoh .
    CHInot # dynamite has one only .
    MEL*MEL: why don't you put it up here on the table so we can see it ?
    MELok # now read .
    CHIoh # five (a)n(d) two # plus four ?
  3. eng_USA_Brown/sarah131.cha, line 712 · Sarah, 4;11.13
    MOTthat's how you make a two .
    MOTno # start at the top .
    MOT*MOT: see # you start up here .
    MOTcome down # (a)n(d) around .
    MOTsee you start backwards .
  4. eng_USA_Brown/sarah131.cha, line 820 · Sarah, 4;11.13
    MOTaround # and in .
    CHIbut # but you can make it like that # straight .
    MOT*MOT: you know you're gonna get up there next year # and you're goin(g) (t)a be arguin(g) with the teacher .
    MOTshe don't know what's in store for her .
    CHII know how to make a two .
  5. eng_USA_Brown/sarah131.cha, line 1128 · Sarah, 4;11.13
    MOTyeah .
    MELI thought it was a little cake icing maybe .
    MOT*MOT: it could be if she did it up # believe me .
    MELdo you know what this is # Sarah ?
    MOTI left all my ribbon down the beach # too .

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. up5 · 100.0%