PHPCLANCHILDES with regular expressions

13 matches in 9 utterances

5.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (509 utterances, 2,398 words searched).

  1. those are his eyes , aren't they ? MOT · eng_british_Manchester_II/warr12a.cha, line 108 · Warren 2;02
  2. er there's the front of his body with his front leg . MOT · eng_british_Manchester_II/warr12a.cha, line 541 · Warren 2;02
  3. er there's the front of his body with his front leg . MOT · eng_british_Manchester_II/warr12a.cha, line 541 · Warren 2;02
  4. and his eye . MOT · eng_british_Manchester_II/warr12a.cha, line 552 · Warren 2;02
  5. where's his other eye and his ear ? MOT · eng_british_Manchester_II/warr12a.cha, line 560 · Warren 2;02
  6. where's his other eye and his ear ? MOT · eng_british_Manchester_II/warr12a.cha, line 560 · Warren 2;02
  7. to finish off the dog's other ear and his back . MOT · eng_british_Manchester_II/warr12a.cha, line 615 · Warren 2;02
  8. that's the steam from his funnel . MOT · eng_british_Manchester_II/warr12a.cha, line 1268 · Warren 2;02
  9. where's his funnel ? MOT · eng_british_Manchester_II/warr12a.cha, line 1271 · Warren 2;02
  10. and his wheels go under his cab where his driver and fireman go . MOT · eng_british_Manchester_II/warr12a.cha, line 1335 · Warren 2;02
  11. and his wheels go under his cab where his driver and fireman go . MOT · eng_british_Manchester_II/warr12a.cha, line 1335 · Warren 2;02
  12. and his wheels go under his cab where his driver and fireman go . MOT · eng_british_Manchester_II/warr12a.cha, line 1335 · Warren 2;02
  13. and they go next to his wheels . MOT · eng_british_Manchester_II/warr12a.cha, line 1345 · Warren 2;02
  1. MOTwhat are these ?
    CHIeyes .
    MOT*MOT: those are his eyes , aren't they ?
    MOTso this is the other puppy , isn't it ?
    MOTcan we find some more bits of this puppy ?
  2. CHIthere .
    MOTwell fit it onto the body then .
    MOT*MOT: er there's the front of his body with his front leg .
    MOTthat's it .
    MOTgood boy .
  3. MOTnow where's the dog's ear ?
    MOTwhere's the dog's ear ?
    MOT*MOT: and his eye .
    MOTand part of a blue ball .
    CHIxxx .
  4. CHIxxx .
    MOTthere's one eye .
    MOT*MOT: where's his other eye and his ear ?
    CHIum that one .
    MOTokay .
  5. MOTthat's it .
    MOTand then that bit goes on here .
    MOT*MOT: to finish off the dog's other ear and his back .
    MOTno .
    MOTlook at the shape of the pieces .
  6. CHIthere .
    MOTno .
    MOT*MOT: that's the steam from his funnel .
    MOTwhere's his funnel ?
    CHIthere .
  7. MOTno .
    MOTthat's the steam from his funnel .
    MOT*MOT: where's his funnel ?
    CHIthere .
    MOTthat's Percy's funnel actually so that piece goes up here .
  8. CHIPercy's wheels .
    MOTPercy's wheels .
    MOT*MOT: and his wheels go under his cab where his driver and fireman go .
    MOTnow where's Percy's buffers ?
    CHIthere .
  9. CHIthere .
    MOTokay .
    MOT*MOT: and they go next to his wheels .
    MOTwhere are Thomas's ?
    MOTcan you see Thomas's ?

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_II5.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr12a.chaWarren 2;2.052,3989135.42

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. his13 · 100.0%