PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

  1. who am I to argue ? MOT · eng_british_Manchester_II/nic32b.cha, line 391 · Nicole 2;11
  2. am I wrong in doing that as well ? MOT · eng_british_Manchester_II/nic32b.cha, line 913 · Nicole 2;11
  3. I am surprised . MOT · eng_british_Manchester_II/nic32b.cha, line 934 · Nicole 2;11
  4. why am I surprised at that ? MOT · eng_british_Manchester_II/nic32b.cha, line 936 · Nicole 2;11
  5. you mean what am I looking for . MOT · eng_british_Manchester_II/nic32b.cha, line 1301 · Nicole 2;11
  6. not what am I finding for . MOT · eng_british_Manchester_II/nic32b.cha, line 1303 · Nicole 2;11
  1. eng_british_Manchester_II/nic32b.cha, line 391 · Nicole, 2;11.18
    MOTalright then .
    MOTit's wet .
    MOT*MOT: who am I to argue ?
    CHIbecause that is off now .
    MOTlet's wipe your nose .
  2. eng_british_Manchester_II/nic32b.cha, line 913 · Nicole, 2;11.18
    CHIwhy you do my drinking chocolate .
    MOTbecause you've asked me to .
    MOT*MOT: am I wrong in doing that as well ?
    CHIno .
    CHIcool .
  3. eng_british_Manchester_II/nic32b.cha, line 934 · Nicole, 2;11.18
    MOTno .
    MOToh .
    MOT*MOT: I am surprised .
    MOTwhy am I surprised at that ?
    MOThmm ?
  4. eng_british_Manchester_II/nic32b.cha, line 936 · Nicole, 2;11.18
    MOToh .
    MOTI am surprised .
    MOT*MOT: why am I surprised at that ?
    MOThmm ?
    CHIbump my head .
  5. eng_british_Manchester_II/nic32b.cha, line 1301 · Nicole, 2;11.18
    MOTwhat do you mean where is the plate ?
    CHIwhat're you finding for ?
    MOT*MOT: you mean what am I looking for .
    MOTnot what am I finding for .
    MOTwhen I've got it then I'll have found it .
  6. eng_british_Manchester_II/nic32b.cha, line 1303 · Nicole, 2;11.18
    CHIwhat're you finding for ?
    MOTyou mean what am I looking for .
    MOT*MOT: not what am I finding for .
    MOTwhen I've got it then I'll have found it .
    MOTI was looking for my pen .

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_II2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32b.chaNicole 2;11.182,056662.92

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. am6 · 100.0%