PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (579 utterances, 2,272 words searched).

  1. that's looking very nice , Nicole ? MOT · eng_british_Manchester_II/nic11b.cha, line 248 · Nicole 2;04
  2. that's not very nice , is it ? MOT · eng_british_Manchester_II/nic11b.cha, line 599 · Nicole 2;04
  3. that's not very nice , is it ? MOT · eng_british_Manchester_II/nic11b.cha, line 917 · Nicole 2;04
  4. and let Mummy build you something nice . MOT · eng_british_Manchester_II/nic11b.cha, line 1130 · Nicole 2;04
  5. what about that nice one I got from the library last week ? MOT · eng_british_Manchester_II/nic11b.cha, line 1146 · Nicole 2;04
  6. this is nice . MOT · eng_british_Manchester_II/nic11b.cha, line 1560 · Nicole 2;04
  1. MOTxxx .
    CHIyeah .
    MOT*MOT: that's looking very nice , Nicole ?
    CHIxxx .
    CHIa Mummy have later .
  2. MOToh .
    MOTNicole .
    MOT*MOT: that's not very nice , is it ?
    CHIgone now .
    INVgone now .
  3. MOTdon't squeal please .
    MOTyou're not +...
    MOT*MOT: that's not very nice , is it ?
    CHIaway now .
    MOTthat's very selfish of you .
  4. MOThmm ?
    MOTwhy don't you just sit there , look with Mummy .
    MOT*MOT: and let Mummy build you something nice .
    MOTyes ?
    CHImmhm .
  5. MOTshall we get a book ?
    MOThmm ?
    MOT*MOT: what about that nice one I got from the library last week ?
    MOTabout Willy .
    MOTshall I <read you to> [//] ready Willy to you ?
  6. MOToh .
    MOToh .
    MOT*MOT: this is nice .
    MOToh .
    MOToh .

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_II2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic11b.chaNicole 2;4.182,272662.64

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%