PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. we've got lots of vehicles . MOT · eng_british_Manchester_II/warr07b.cha, line 498 · Warren 2;00
  2. what a lot of holes . MOT · eng_british_Manchester_II/warr07b.cha, line 607 · Warren 2;00
  3. what's that a picture of ? MOT · eng_british_Manchester_II/warr07b.cha, line 611 · Warren 2;00
  4. is it a picture of anything or is it just a nice pattern ? MOT · eng_british_Manchester_II/warr07b.cha, line 615 · Warren 2;00
  5. sort of . MOT · eng_british_Manchester_II/warr07b.cha, line 696 · Warren 2;00
  6. shall we roll out so you can make the [//] I suppose it's the truck of some description . MOT · eng_british_Manchester_II/warr07b.cha, line 1143 · Warren 2;00
  7. we'll have lots of vans . MOT · eng_british_Manchester_II/warr07b.cha, line 1157 · Warren 2;00
  8. which bit of the train ? MOT · eng_british_Manchester_II/warr07b.cha, line 1353 · Warren 2;00
  9. well shall we give it a drink of tea ? MOT · eng_british_Manchester_II/warr07b.cha, line 1369 · Warren 2;00
  1. 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 .
  2. MOTtwo three .
    MOTfour five six seven eight nine ten eleven twelve thirteen fourteen fifteen sixteen .
    MOT*MOT: what a lot of holes .
    MOTseventeen eighteen .
    MOTwhat's that a picture of ?
  3. MOTwhat a lot of holes .
    MOTseventeen eighteen .
    MOT*MOT: what's that a picture of ?
    MOTwhat is it ?
    MOTis it a picture of anything or is it just a nice pattern ?
  4. MOTwhat's that a picture of ?
    MOTwhat is it ?
    MOT*MOT: is it a picture of anything or is it just a nice pattern ?
    CHInice pattern .
    MOTI'll get another tissue for your nose .
  5. MOTa lovely pattern .
    MOTit's like eggs in an egg box .
    MOT*MOT: sort of .
    CHIMummy do it .
    MOToh right .
  6. MOTthat's it .
    MOTanother yellow van .
    MOT*MOT: shall we roll out so you can make the [//] I suppose it's the truck of some description .
    MOTare you going to make the truck ?
    CHIno .
  7. MOTmake another another .
    MOThow many vans will we have ?
    MOT*MOT: we'll have lots of vans .
    CHImake a red plane bus .
    MOTtrain .
  8. MOTwhat's Warren squashing ?
    CHItrain .
    MOT*MOT: which bit of the train ?
    MOTthe wheels and now the funnel .
    MOTpoor train .
  9. MOTokay .
    CHIMummy .
    MOT*MOT: well shall we give it a drink of tea ?
    MOTsee if the tea makes it better .
    MOTright .

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_II4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr07b.chaWarren 2;0.172,244994.01

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.

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