PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,359 words searched).

  1. apple . MOT · eng_british_Manchester_II/nic12a.cha, line 1327 · Nicole 2;04
  2. do you eat an apple ? MOT · eng_british_Manchester_II/nic12a.cha, line 1372 · Nicole 2;04
  3. do you like apple ? MOT · eng_british_Manchester_II/nic12a.cha, line 1376 · Nicole 2;04
  4. an apple for Caroline . MOT · eng_british_Manchester_II/nic12a.cha, line 1394 · Nicole 2;04
  5. what about apple ? INV · eng_british_Manchester_II/nic12a.cha, line 1445 · Nicole 2;04
  6. can I have apple or a banana please . MOT · eng_british_Manchester_II/nic12a.cha, line 1447 · Nicole 2;04
  1. MOTwhat's this ?
    CHIxxx apple .
    MOT*MOT: apple .
    MOTand a +...
    CHIa pear .
  2. MOTxxx .
    MOTwhat do you eat ?
    MOT*MOT: do you eat an apple ?
    CHIyeah .
    MOTdo you like apple ?
  3. MOTdo you eat an apple ?
    CHIyeah .
    MOT*MOT: do you like apple ?
    CHImmhm .
    CHIyeah .
  4. INVthank you .
    MOTthere .
    MOT*MOT: an apple for Caroline .
    INVyummy .
    CHIno no .
  5. MOTcan I have something else please , Nicole ?
    CHIno .
    INV*INV: what about apple ?
    MOTcan I have apple or a banana please .
    CHIum xxx .
  6. CHIno .
    INVwhat about apple ?
    MOT*MOT: can I have apple or a banana please .
    CHIum xxx .
    CHIxxx .

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_II2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12a.chaNicole 2;4.212,359662.54

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. apple6 · 100.0%