PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (524 utterances, 1,730 words searched).

  1. do you want to sit at the table and do them ? MOT · eng_british_Manchester_I/becky11a.cha, line 21 · Becky 2;03
  2. it's just there , look at the back by the +/. MOT · eng_british_Manchester_I/becky11a.cha, line 546 · Becky 2;03
  3. what're you going to get at ? MOT · eng_british_Manchester_I/becky11a.cha, line 1300 · Becky 2;03
  4. right at the front . MOT · eng_british_Manchester_I/becky11a.cha, line 1309 · Becky 2;03
  5. look at his little feet , Becky . MOT · eng_british_Manchester_I/becky11a.cha, line 1618 · Becky 2;03
  6. let me just have a quick look at the tape . INV · eng_british_Manchester_I/becky11a.cha, line 1878 · Becky 2;03
  1. eng_british_Manchester_I/becky11a.cha, line 21 · Becky, 2;3.20
    MOTyeah ?
    MOThere we are .
    MOT*MOT: do you want to sit at the table and do them ?
    CHIAndrew do .
    MOTyeah .
  2. eng_british_Manchester_I/becky11a.cha, line 546 · Becky, 2;3.20
    INVyeah .
    MOTnot sure if you can reach it .
    MOT*MOT: it's just there , look at the back by the +/.
    CHIwhere ?
    MOT+, by the lego box .
  3. eng_british_Manchester_I/becky11a.cha, line 1300 · Becky, 2;3.20
    MOTbit later .
    MOTI'd get up but I've got Sukie on my knee .
    MOT*MOT: what're you going to get at ?
    MOTshall we get turtle out and put the shapes in ?
    MOTtell us what the shapes are .
  4. eng_british_Manchester_I/becky11a.cha, line 1309 · Becky, 2;3.20
    MOTtell us what the shapes are .
    MOTthere he is , look .
    MOT*MOT: right at the front .
    CHIxxx .
    CHIxxx .
  5. eng_british_Manchester_I/becky11a.cha, line 1618 · Becky, 2;3.20
    MOTxxx .
    INVI'll get everything else out later .
    MOT*MOT: look at his little feet , Becky .
    MOTcan you see his little feet ?
    MOTand his little hands ?
  6. eng_british_Manchester_I/becky11a.cha, line 1878 · Becky, 2;3.20
    MOTlet him meet [/] meet Daisy_cat .
    INVyes .
    INV*INV: let me just have a quick look at the tape .
    INVoh yes .
    INVone minute then I can play .

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. Becky eng_british_Manchester_I3.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky11a.chaBecky 2;3.201,730663.47

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. at6 · 100.0%