PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. was it exciting ? INV · eng_british_Manchester_II/nic07a.cha, line 183 · Nicole 2;02
  2. was it ? INV · eng_british_Manchester_II/nic07a.cha, line 187 · Nicole 2;02
  3. what was in the fields near the house we were in ? MOT · eng_british_Manchester_II/nic07a.cha, line 414 · Nicole 2;02
  4. what else was there ? MOT · eng_british_Manchester_II/nic07a.cha, line 435 · Nicole 2;02
  5. what else was there ? MOT · eng_british_Manchester_II/nic07a.cha, line 441 · Nicole 2;02
  6. it was horrible for you , wasn't it ? MOT · eng_british_Manchester_II/nic07a.cha, line 549 · Nicole 2;02
  7. what was it ? MOT · eng_british_Manchester_II/nic07a.cha, line 941 · Nicole 2;02
  8. that was very nice . MOT · eng_british_Manchester_II/nic07a.cha, line 1039 · Nicole 2;02
  1. CHIdonkey .
    INVoh .
    INV*INV: was it exciting ?
    CHIyeah .
    INVwas it ?
  2. INVwas it exciting ?
    CHIyeah .
    INV*INV: was it ?
    CHIyeah .
    CHIwee+wee again .
  3. MOTand what else ?
    CHIxxx .
    MOT*MOT: what was in the fields near the house we were in ?
    CHIa moo+cow .
    MOTmoo+cow and +...
  4. MOTlots of tractors .
    MOTyes .
    MOT*MOT: what else was there ?
    CHIum # +...
    MOTcows tractors ducks .
  5. CHIum # +...
    MOTcows tractors ducks .
    MOT*MOT: what else was there ?
    MOTa lot of them .
    MOTgoose and a little hen , wasn't there that we stood watching one morning .
  6. INVoh dear .
    CHIagain .
    MOT*MOT: it was horrible for you , wasn't it ?
    MOTyou didn't like it at all .
    MOTwww .
  7. MOTwhat's that you just put away ?
    CHIhuh ?
    MOT*MOT: what was it ?
    MOTwhat's that ?
    MOTxxx .
  8. CHIPostman_Pat Jess_Cat xxx .
    MOTthank you .
    MOT*MOT: that was very nice .
    MOTPostman_Pat and Jess_the_cat .
    MOTwhat were they doing ?

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_II3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054883.89

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. was8 · 100.0%