PHPCLANCHILDES with regular expressions

16 matches in 15 utterances

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

  1. what's too big ? MOT · eng_british_Manchester_II/warr05a.cha, line 182 · Warren 1;11
  2. what's broken ? MOT · eng_british_Manchester_II/warr05a.cha, line 368 · Warren 1;11
  3. what's Spot doing ? MOT · eng_british_Manchester_II/warr05a.cha, line 465 · Warren 1;11
  4. what's the dog called ? MOT · eng_british_Manchester_II/warr05a.cha, line 587 · Warren 1;11
  5. what's the dog doing ? MOT · eng_british_Manchester_II/warr05a.cha, line 593 · Warren 1;11
  6. what's Warren ? MOT · eng_british_Manchester_II/warr05a.cha, line 673 · Warren 1;11
  7. what's the dog got ? MOT · eng_british_Manchester_II/warr05a.cha, line 696 · Warren 1;11
  8. what's he licking it with ? MOT · eng_british_Manchester_II/warr05a.cha, line 711 · Warren 1;11
  9. and what's on the trailer ? MOT · eng_british_Manchester_II/warr05a.cha, line 903 · Warren 1;11
  10. can you remember what's [/] what's on the trailer ? MOT · eng_british_Manchester_II/warr05a.cha, line 907 · Warren 1;11
  11. can you remember what's [/] what's on the trailer ? MOT · eng_british_Manchester_II/warr05a.cha, line 907 · Warren 1;11
  12. what's happened to the car ? MOT · eng_british_Manchester_II/warr05a.cha, line 1029 · Warren 1;11
  13. what's happened to the car ? MOT · eng_british_Manchester_II/warr05a.cha, line 1043 · Warren 1;11
  14. what's wibble@wp wobble then ? MOT · eng_british_Manchester_II/warr05a.cha, line 1348 · Warren 1;11
  15. what's the matter ? MOT · eng_british_Manchester_II/warr05a.cha, line 1435 · Warren 1;11
  16. oh <what's> [//] who's here ? MOT · eng_british_Manchester_II/warr05a.cha, line 1518 · Warren 1;11
  1. CHIxxx crash .
    CHItoo big the crash [?] .
    MOT*MOT: what's too big ?
    CHIcrash .
    MOTthe what ?
  2. CHIbroken .
    CHIbroken that one , Mummy .
    MOT*MOT: what's broken ?
    CHIthat one .
    MOTthat's the Spot jigsaw , isn't it ?
  3. MOTand there's Spot in his basket .
    MOTwith a bone .
    MOT*MOT: what's Spot doing ?
    CHIsleep .
    MOThow do you know he's sleeping ?
  4. MOTthat's right .
    INVSpot the dog yeah .
    MOT*MOT: what's the dog called ?
    MOTSpot .
    CHISpot .
  5. MOTSpot .
    CHISpot .
    MOT*MOT: what's the dog doing ?
    CHIthe bone .
    CHIlick the bone .
  6. CHIhooray .
    MOTwhat are you ?
    MOT*MOT: what's Warren ?
    CHIboy .
    MOTa clever boy .
  7. INVthat's very good .
    CHIthe dog .
    MOT*MOT: what's the dog got ?
    CHIbone .
    MOTyes .
  8. MOTI don't think you'd like a bone , would you ?
    CHIdog lick it .
    MOT*MOT: what's he licking it with ?
    CHIbone .
    CHISpot dog sleeping .
  9. CHIthere tractor xxx .
    MOTthat's right .
    MOT*MOT: and what's on the trailer ?
    CHItractor .
    MOTcan you remember what's [/] what's on the trailer ?
  10. MOTand what's on the trailer ?
    CHItractor .
    MOT*MOT: can you remember what's [/] what's on the trailer ?
    CHIpotatos .
    MOTyes .
  11. MOTand a window .
    MOTthere we go .
    MOT*MOT: what's happened to the car ?
    MOTwhy has it broken down .
    MOToh: .
  12. MOTto warn people there's a broken car .
    MOTthere we go .
    MOT*MOT: what's happened to the car ?
    MOTdid it crash or has the engine ceased up ?
    CHIxxx .
  13. MOTyou want to wibble@wp wobble ?
    CHIwibble@wp wobble .
    MOT*MOT: what's wibble@wp wobble then ?
    MOTwhat ?
    MOTwhat are you doing ?
  14. MOTyes I'm better now .
    CHIwhat 0is [*] the matter Mummy ?
    MOT*MOT: what's the matter ?
    MOTthe matter is that you pushed me so I cried .
    CHIMummy cry .
  15. MOTone cat .
    MOTwww .
    MOT*MOT: oh <what's> [//] who's here ?
    MOTwho's on this picture ?
    CHIPostman_Pat [*] cat .

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_II7.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,03915167.85

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. what's16 · 100.0%