PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 2,244 words searched).

  1. or vehicles ? MOT · eng_british_Manchester_II/warr07b.cha, line 64 · Warren 2;00
  2. oh how many vehicles have we got ? MOT · eng_british_Manchester_II/warr07b.cha, line 382 · Warren 2;00
  3. one two three four vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 384 · Warren 2;00
  4. how many vehicles have we got ? MOT · eng_british_Manchester_II/warr07b.cha, line 492 · Warren 2;00
  5. we've got lots of vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 498 · Warren 2;00
  6. look at all those vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 556 · Warren 2;00
  7. or some more vehicles ? MOT · eng_british_Manchester_II/warr07b.cha, line 1005 · Warren 2;00
  8. all these vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 1285 · Warren 2;00
  1. MOTshall we roll out some animals ?
    CHIno .
    MOT*MOT: or vehicles ?
    CHIno .
    MOTwould you like to make some blue ones ?
  2. CHIpark there .
    MOTyeah .
    MOT*MOT: oh how many vehicles have we got ?
    MOTone two three four vehicles .
    MOTa tractor .
  3. MOTyeah .
    MOToh how many vehicles have we got ?
    MOT*MOT: one two three four vehicles .
    MOTa tractor .
    MOTa plane .
  4. MOTpark it next to the train .
    MOTthere we go .
    MOT*MOT: how many vehicles have we got ?
    MOTone two three four five .
    MOTare you going to make an animal ?
  5. MOTone two three four five .
    MOTare you going to make an animal ?
    MOT*MOT: we've got lots of vehicles .
    MOTwhy don't we make some animals ?
    CHImake a train .
  6. CHInext to the van there .
    MOTnext to the van .
    MOT*MOT: look at all those vehicles .
    MOTshall we make another one ?
    MOTwhat shall we make this time ?
  7. MOTwhat shapes are you going to cut out with the yellow ?
    MOTare you going to make some animals ?
    MOT*MOT: or some more vehicles ?
    CHII make a van .
    MOTcan I cut out an animal please ?
  8. MOTthere it is .
    MOTright at the back .
    MOT*MOT: all these vehicles .
    MOTer not on the carpet please .
    MOTapart from anything else it'll pick up bits .

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. Warren eng_british_Manchester_II3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244883.57

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. vehicles8 · 100.0%