PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (232 utterances, 1,019 words searched).

  1. want a banana ? MOT · eng_british_Manchester_II/nic31b.cha, line 640 · Nicole 2;11
  2. you've already had a [//] some banana today , haven't you ? MOT · eng_british_Manchester_II/nic31b.cha, line 648 · Nicole 2;11
  3. if you want a banana you can have one after you've had your lunch . MOT · eng_british_Manchester_II/nic31b.cha, line 660 · Nicole 2;11
  1. eng_british_Manchester_II/nic31b.cha, line 640 · Nicole, 2;11.11
    CHIxxx .
    CHIwant a banana .
    MOT*MOT: want a banana ?
    CHIyeah .
    MOTno .
  2. eng_british_Manchester_II/nic31b.cha, line 648 · Nicole, 2;11.11
    MOTno .
    MOTdon't do that .
    MOT*MOT: you've already had a [//] some banana today , haven't you ?
    CHINicole want it now .
    MOTno .
  3. eng_british_Manchester_II/nic31b.cha, line 660 · Nicole, 2;11.11
    MOTyou're not gonna [: going to] have it now , Nicole .
    CHIwhy ?
    MOT*MOT: if you want a banana you can have one after you've had your lunch .
    MOTfor pudding .
    CHIwhy ?

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_II2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic31b.chaNicole 2;11.111,019332.94

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. banana3 · 100.0%