PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

8.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,514 words searched).

  1. are you snapping her bottom ? MOT · eng_british_Manchester_II/warr13b.cha, line 94 · Warren 2;02
  2. so how many cars are there now , Warren ? MOT · eng_british_Manchester_II/warr13b.cha, line 189 · Warren 2;02
  3. how many cars are there ? MOT · eng_british_Manchester_II/warr13b.cha, line 192 · Warren 2;02
  4. how many cars are there in the truck ? MOT · eng_british_Manchester_II/warr13b.cha, line 194 · Warren 2;02
  5. I don't know where the other men are . MOT · eng_british_Manchester_II/warr13b.cha, line 372 · Warren 2;02
  6. what are they talking about ? MOT · eng_british_Manchester_II/warr13b.cha, line 518 · Warren 2;02
  7. what are those three men doing ? MOT · eng_british_Manchester_II/warr13b.cha, line 613 · Warren 2;02
  8. what are they doing ? MOT · eng_british_Manchester_II/warr13b.cha, line 615 · Warren 2;02
  9. are they singing ? MOT · eng_british_Manchester_II/warr13b.cha, line 617 · Warren 2;02
  10. or are they making chocolate cakes ? MOT · eng_british_Manchester_II/warr13b.cha, line 619 · Warren 2;02
  11. remember they're not your toys , are they ? MOT · eng_british_Manchester_II/warr13b.cha, line 935 · Warren 2;02
  12. whose toys are they ? MOT · eng_british_Manchester_II/warr13b.cha, line 938 · Warren 2;02
  13. are you sure ? MOT · eng_british_Manchester_II/warr13b.cha, line 1075 · Warren 2;02
  1. MOTwhoops .
    CHIsnap snap .
    MOT*MOT: are you snapping her bottom ?
    CHIyes .
    MOToh .
  2. MOTlook .
    CHIthere's another car .
    MOT*MOT: so how many cars are there now , Warren ?
    MOThow many cars are there ?
    MOThow many cars are there in the truck ?
  3. CHIthere's another car .
    MOTso how many cars are there now , Warren ?
    MOT*MOT: how many cars are there ?
    MOThow many cars are there in the truck ?
    CHIxxx .
  4. MOTso how many cars are there now , Warren ?
    MOThow many cars are there ?
    MOT*MOT: how many cars are there in the truck ?
    CHIxxx .
    MOTstill looking for that baby tiger .
  5. CHIanother men .
    CHIget another mens [*] .
    MOT*MOT: I don't know where the other men are .
    MOTyou've got one there .
    MOTthe monkey's sitting on its head .
  6. MOTthey have to go on the top of a tower .
    CHItwo men talking .
    MOT*MOT: what are they talking about ?
    CHIxxx .
    MOTshall I hold this still while you pull him off ?
  7. MOTif you're now trying to get the penguin on I think you're stymied .
    CHIxxx .
    MOT*MOT: what are those three men doing ?
    MOTwhat are they doing ?
    MOTare they singing ?
  8. CHIxxx .
    MOTwhat are those three men doing ?
    MOT*MOT: what are they doing ?
    MOTare they singing ?
    MOTor are they making chocolate cakes ?
  9. MOTwhat are those three men doing ?
    MOTwhat are they doing ?
    MOT*MOT: are they singing ?
    MOTor are they making chocolate cakes ?
    MOTthat's a very tall man , isn't it ?
  10. MOTwhat are they doing ?
    MOTare they singing ?
    MOT*MOT: or are they making chocolate cakes ?
    MOTthat's a very tall man , isn't it ?
    CHIthat one .
  11. MOTno .
    MOTbe gentle with them .
    MOT*MOT: remember they're not your toys , are they ?
    MOTwhose toys are they ?
    MOTAnna's toys .
  12. MOTbe gentle with them .
    MOTremember they're not your toys , are they ?
    MOT*MOT: whose toys are they ?
    MOTAnna's toys .
    MOTyou're not to break her toys .
  13. CHIyes .
    CHIthat one go on there .
    MOT*MOT: are you sure ?
    CHIyes .
    CHIthat 0is [*] going on there .

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_II8.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,51413138.59

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. are13 · 100.0%