PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

8.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. who gave you this [= toy nurse's kit] ? MOT · eng_USA_Brown/sarah039.cha, line 48 · Sarah 2;11
  2. what's this dog's name ? GRA · eng_USA_Brown/sarah039.cha, line 91 · Sarah 2;11
  3. this for me ? MOT · eng_USA_Brown/sarah039.cha, line 401 · Sarah 2;11
  4. you've had this doggie a long time . MOT · eng_USA_Brown/sarah039.cha, line 494 · Sarah 2;11
  5. this is broke # isn't it ? MOT · eng_USA_Brown/sarah039.cha, line 714 · Sarah 2;11
  6. now what are you gonna do with all this stuff ? MOT · eng_USA_Brown/sarah039.cha, line 801 · Sarah 2;11
  7. cutting this ? MOT · eng_USA_Brown/sarah039.cha, line 907 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 48 · Sarah, 2;11.30
    CHIin a house ?
    MOTwho gave you that ?
    MOT*MOT: who gave you this [= toy nurse's kit] ?
    CHIBessa [?] .
    MOTno .
  2. eng_USA_Brown/sarah039.cha, line 91 · Sarah, 2;11.30
    MOT<no> [<] !
    MOTwhat's his name ?
    GRA*GRA: what's this dog's name ?
    GRAwhat's Nana's dog's name ?
    CHIEssie [?] .
  3. eng_USA_Brown/sarah039.cha, line 401 · Sarah, 2;11.30
    CHIdog .
    CHIdoggie .
    MOT*MOT: this for me ?
    CHIyeah .
    CHIxxx .
  4. eng_USA_Brown/sarah039.cha, line 494 · Sarah, 2;11.30
    CHIdog .
    MOTxxx up .
    MOT*MOT: you've had this doggie a long time .
    CHIyeah .
    MOTthey all need a bath .
  5. eng_USA_Brown/sarah039.cha, line 714 · Sarah, 2;11.30
    CHIyeah .
    CHIxxx Tickles .
    MOT*MOT: this is broke # isn't it ?
    CHIyeah .
    CHIgot yyy .
  6. eng_USA_Brown/sarah039.cha, line 801 · Sarah, 2;11.30
    MOTc(o)me (h)ere and do nothing .
    CHI0 .
    MOT*MOT: now what are you gonna do with all this stuff ?
    MOThuh ?
    CHIplay .
  7. eng_USA_Brown/sarah039.cha, line 907 · Sarah, 2;11.30
    MOTwhat're you doing ?
    CHIcut dis .
    MOT*MOT: cutting this ?
    MOTwhat is it ?
    MOTwhat've you got in your hand ?

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_Brown8.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859778.15

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. this7 · 100.0%