PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

6.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. where's the other +//. MOT · eng_british_Manchester_II/warr05a.cha, line 88 · Warren 1;11
  2. where's the driver for the tractor ? MOT · eng_british_Manchester_II/warr05a.cha, line 354 · Warren 1;11
  3. where's the driver ? MOT · eng_british_Manchester_II/warr05a.cha, line 356 · Warren 1;11
  4. wonder where the rest of him is . MOT · eng_british_Manchester_II/warr05a.cha, line 386 · Warren 1;11
  5. where's the other piece ? MOT · eng_british_Manchester_II/warr05a.cha, line 400 · Warren 1;11
  6. where's Spot's eyes ? MOT · eng_british_Manchester_II/warr05a.cha, line 410 · Warren 1;11
  7. where else might that piece go ? MOT · eng_british_Manchester_II/warr05a.cha, line 510 · Warren 1;11
  8. where's the broken car . MOT · eng_british_Manchester_II/warr05a.cha, line 782 · Warren 1;11
  9. where did we see the steam ? MOT · eng_british_Manchester_II/warr05a.cha, line 1130 · Warren 1;11
  10. can you remember where it was ? MOT · eng_british_Manchester_II/warr05a.cha, line 1142 · Warren 1;11
  11. where did you see that ? INV · eng_british_Manchester_II/warr05a.cha, line 1148 · Warren 1;11
  12. where was it ? MOT · eng_british_Manchester_II/warr05a.cha, line 1154 · Warren 1;11
  13. where did we go yesterday ? MOT · eng_british_Manchester_II/warr05a.cha, line 1171 · Warren 1;11
  14. where is the tractor ? MOT · eng_british_Manchester_II/warr05a.cha, line 1461 · Warren 1;11
  1. MOTwe could make an even longer slide , couldn't we ?
    MOTget some more .
    MOT*MOT: where's the other +//.
    MOToh there it is .
    CHI<more more> [/] more .
  2. MOTtractor's crashed .
    MOTnot surprised really because there's no driver in it .
    MOT*MOT: where's the driver for the tractor ?
    MOTwhere's the driver ?
    CHIMummy , where's my man ?
  3. MOTnot surprised really because there's no driver in it .
    MOTwhere's the driver for the tractor ?
    MOT*MOT: where's the driver ?
    CHIMummy , where's my man ?
    CHIfind the man .
  4. CHIsit .
    MOTsee if you can fit [/] fit those together .
    MOT*MOT: wonder where the rest of him is .
    MOThe's probably right at the bottom .
    MOTthere's another bit .
  5. MOThere it is .
    MOTshall we try and put the picture together ?
    MOT*MOT: where's the other piece ?
    MOTare you sitting on it ?
    MOTahhah .
  6. MOTthere it is .
    MOTright .
    MOT*MOT: where's Spot's eyes ?
    MOTSpot's eyes are closed .
    MOTcan you see them ?
  7. MOTthat doesn't fit , does it ?
    MOTI think that bit might be wrong .
    MOT*MOT: where else might that piece go ?
    MOTthat doesn't fit , does it ?
    CHIno go there .
  8. MOTI don't need to draw one if you've drawn one .
    MOTlook at that .
    MOT*MOT: where's the broken car .
    CHII do a broken car there .
    MOTright .
  9. MOTthe exhaust pipe and steam coming out of its bonnet .
    MOTwe saw lots of steam yesterday , didn't we ?
    MOT*MOT: where did we see the steam ?
    MOTcan you remember ?
    MOTyou were in the car and you saw that steam .
  10. MOTdead silence .
    MOTyou thought it was smoke and we said it's actually steam .
    MOT*MOT: can you remember where it was ?
    CHIsmoke and steam .
    INVsmoke and steam .
  11. CHIsmoke and steam .
    INVsmoke and steam .
    INV*INV: where did you see that ?
    CHIthe car .
    MOTyeah we were in the car .
  12. CHIthe car .
    MOTyeah we were in the car .
    MOT*MOT: where was it ?
    MOTwhat building was it coming out of ?
    MOTit came out of the brewery .
  13. INVbrewery yeah .
    CHIlook .
    MOT*MOT: where did we go yesterday ?
    MOTwhat did Warren have done # when you went with Daddy ?
    MOTwhat did you have done when you went with Daddy yesterday ?
  14. MOTwhat is it ?
    CHIa tractor .
    MOT*MOT: where is the tractor ?
    CHIthe water .
    MOTshall we see if we can find the rest of the book ?

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_II6.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,03914146.87

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. where14 · 100.0%