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. is that nice ? MOT · eng_british_Manchester_II/nic09a.cha, line 820 · Nicole 2;03
  2. I'll sit here where it's nice and comfortable . MOT · eng_british_Manchester_II/nic09a.cha, line 1245 · Nicole 2;03
  3. that's nice ? MOT · eng_british_Manchester_II/nic09a.cha, line 1250 · Nicole 2;03
  4. that's a nice bottom lip , isn't it ? MOT · eng_british_Manchester_II/nic09a.cha, line 1392 · Nicole 2;03
  5. that's a nice bottom lip . MOT · eng_british_Manchester_II/nic09a.cha, line 1402 · Nicole 2;03
  6. and have a nice bath ? MOT · eng_british_Manchester_II/nic09a.cha, line 1423 · Nicole 2;03
  1. eng_british_Manchester_II/nic09a.cha, line 820 · Nicole, 2;3.17
    MOTI've not got any more in the pot .
    MOTxxx .
    MOT*MOT: is that nice ?
    CHInice , Mum .
    MOThave you finished it ?
  2. eng_british_Manchester_II/nic09a.cha, line 1245 · Nicole, 2;3.17
    MOTand you can play with your toys .
    MOToh I know .
    MOT*MOT: I'll sit here where it's nice and comfortable .
    MOToh .
    MOTthat's nice ?
  3. eng_british_Manchester_II/nic09a.cha, line 1250 · Nicole, 2;3.17
    MOTI'll sit here where it's nice and comfortable .
    MOToh .
    MOT*MOT: that's nice ?
    CHIno .
    MOTare you going to read the book to Caroline ?
  4. eng_british_Manchester_II/nic09a.cha, line 1392 · Nicole, 2;3.17
    CHIno .
    CHIno .
    MOT*MOT: that's a nice bottom lip , isn't it ?
    MOThmm ?
    INVwe have bottom lips too .
  5. eng_british_Manchester_II/nic09a.cha, line 1402 · Nicole, 2;3.17
    INVwe have bottom lips too .
    MOTdo you have bottom lips in your house ?
    MOT*MOT: that's a nice bottom lip .
    INVxxx [>] .
    CHIxxx [<] .
  6. eng_british_Manchester_II/nic09a.cha, line 1423 · Nicole, 2;3.17
    MOTwould you like to go in the bath with Nicole tonight , Morag ?
    MOThmm ?
    MOT*MOT: and have a nice bath ?
    CHIno .
    MOTdon't you want her in the bath ?

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. nice6 · 100.0%