PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

12.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,273 words searched).

  1. you're no more accurate putting those on than you are putting yours on , are yo… MOT · eng_british_Manchester_II/warr23b.cha, line 45 · Warren 2;05
  2. no . MOT · eng_british_Manchester_II/warr23b.cha, line 99 · Warren 2;05
  3. no . MOT · eng_british_Manchester_II/warr23b.cha, line 371 · Warren 2;05
  4. no . MOT · eng_british_Manchester_II/warr23b.cha, line 397 · Warren 2;05
  5. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 426 · Warren 2;05
  6. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 534 · Warren 2;05
  7. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 592 · Warren 2;05
  8. no . MOT · eng_british_Manchester_II/warr23b.cha, line 648 · Warren 2;05
  9. no . MOT · eng_british_Manchester_II/warr23b.cha, line 669 · Warren 2;05
  10. well I wasn't going to make a bridge , no . MOT · eng_british_Manchester_II/warr23b.cha, line 811 · Warren 2;05
  11. no . MOT · eng_british_Manchester_II/warr23b.cha, line 832 · Warren 2;05
  12. no problem . MOT · eng_british_Manchester_II/warr23b.cha, line 844 · Warren 2;05
  13. no . MOT · eng_british_Manchester_II/warr23b.cha, line 878 · Warren 2;05
  14. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 1014 · Warren 2;05
  15. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 1223 · Warren 2;05
  16. oh no . MOT · eng_british_Manchester_II/warr23b.cha, line 1237 · Warren 2;05
  1. MOTshall I hold the doll while you put her pants on .
    MOTmmhm .
    MOT*MOT: you're no more accurate putting those on than you are putting yours on , are you ?
    MOTthread her legs in .
    MOToh .
  2. MOTis she ?
    CHIno .
    MOT*MOT: no .
    MOTI don't think she is .
    MOTI think she might help you with your shopping .
  3. CHIa car on the road .
    CHIthe train's on the road .
    MOT*MOT: no .
    MOTI think the car's on the track .
    MOTthat car had better move .
  4. CHIthe little wheel comed [*] off a train .
    MOTdon't think so .
    MOT*MOT: no .
    CHIchoo@o .
    MOTgoing to make a tunnel ?
  5. CHIthat's my car .
    CHIbrumm@o .
    MOT*MOT: oh no .
    MOTthere's been a train crash .
    CHIthere police car .
  6. CHIit nearly fall [*] .
    MOTit did , didn't it ?
    MOT*MOT: oh no .
    MOTwhat a disaster .
    CHIoh no .
  7. MOTyou've got [//] only got one blue brick on your tower , haven't you ?
    MOTright at the bottom .
    MOT*MOT: oh no .
    MOTit's fallen off again .
    CHIxxx again .
  8. MOTyou want to throw a tissue ?
    CHIyes .
    MOT*MOT: no .
    MOTyou can't .
    CHIWarren 0is [*] playing throw bricks .
  9. MOTthat's the problem with throwing things .
    MOTyou don't always know where they go .
    MOT*MOT: no .
    MOTthrow a piece again and they all go away and they go straight back in Anna's car .
    CHIno .
  10. CHIthe carriage bridge .
    MOTa bridge ?
    MOT*MOT: well I wasn't going to make a bridge , no .
    MOTwould you like me to make a bridge ?
    CHIyes .
  11. CHIit's my bridge .
    CHIit's my bridge .
    MOT*MOT: no .
    MOTit's not .
    MOTit's my bridge actually .
  12. CHImake my bridge .
    MOTyou can make a bridge yeah .
    MOT*MOT: no problem .
    CHIno .
    CHII don't want to .
  13. CHIthe train go under .
    MOTwill it fit ?
    MOT*MOT: no .
    MOTMummy'll just make the bridge a bit taller then .
    CHIhey .
  14. MOTwill that fit through now ?
    MOTwhoops .
    MOT*MOT: oh no .
    MOTone of the legs has fallen off .
    MOTthere we go .
  15. MOTsend it back .
    MOTsend it back under the bridge .
    MOT*MOT: oh no .
    MOTit's banged into the bridge .
    CHIno .
  16. CHIgo properly .
    MOTI'd like to see you aim him accurately at speed to the bridge sweetheart .
    MOT*MOT: oh no .
    MOThe's on the pavement .

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_II12.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr23b.chaWarren 2;5.271,273161612.57

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. no16 · 100.0%