PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (613 utterances, 2,470 words searched).

  1. shall we do seesaw ? MOT · eng_british_Manchester_II/nic09a.cha, line 1448 · Nicole 2;03
  2. +" seesaw Margory Daw . MOT · eng_british_Manchester_II/nic09a.cha, line 1452 · Nicole 2;03
  3. seesaw ? MOT · eng_british_Manchester_II/nic09a.cha, line 1466 · Nicole 2;03
  4. would you like your seesaw out again tomorrow ? MOT · eng_british_Manchester_II/nic09a.cha, line 1472 · Nicole 2;03
  5. shall we get your seesaw out tomorrow ? MOT · eng_british_Manchester_II/nic09a.cha, line 1495 · Nicole 2;03
  6. do you think she might want a go on your seesaw ? MOT · eng_british_Manchester_II/nic09a.cha, line 1514 · Nicole 2;03
  1. eng_british_Manchester_II/nic09a.cha, line 1448 · Nicole, 2;3.17
    MOTdon't stand on me .
    CHIxxx .
    MOT*MOT: shall we do seesaw ?
    CHIyeah .
    MOT+" seesaw Margory Daw .
  2. eng_british_Manchester_II/nic09a.cha, line 1452 · Nicole, 2;3.17
    MOTshall we do seesaw ?
    CHIyeah .
    MOT*MOT: +" seesaw Margory Daw .
    MOT+" Johnny shall have a new master .
    MOTare you going to sing ?
  3. eng_british_Manchester_II/nic09a.cha, line 1466 · Nicole, 2;3.17
    CHIwhere seesaw ?
    CHIseesaw gone ?
    MOT*MOT: seesaw ?
    MOTyes .
    MOTI put it back in the shed .
  4. eng_british_Manchester_II/nic09a.cha, line 1472 · Nicole, 2;3.17
    MOTyes .
    MOTI put it back in the shed .
    MOT*MOT: would you like your seesaw out again tomorrow ?
    CHIyeah .
    MOTall right then .
  5. eng_british_Manchester_II/nic09a.cha, line 1495 · Nicole, 2;3.17
    MOTwww .
    MOTthere .
    MOT*MOT: shall we get your seesaw out tomorrow ?
    CHIno .
    CHInow .
  6. eng_british_Manchester_II/nic09a.cha, line 1514 · Nicole, 2;3.17
    MOThmm ?
    CHIxxx .
    MOT*MOT: do you think she might want a go on your seesaw ?
    MOThmm ?
    MOTthat's 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. Nicole eng_british_Manchester_II2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic09a.chaNicole 2;3.172,470662.43

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. seesaw6 · 100.0%