PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

7.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (535 utterances, 2,040 words searched).

  1. three +//. MOT · eng_british_Manchester_II/nic21a.cha, line 907 · Nicole 2;08
  2. three playful pigs . MOT · eng_british_Manchester_II/nic21a.cha, line 920 · Nicole 2;08
  3. three +/. MOT · eng_british_Manchester_II/nic21a.cha, line 925 · Nicole 2;08
  4. three pigs . MOT · eng_british_Manchester_II/nic21a.cha, line 943 · Nicole 2;08
  5. two beautiful butterflys or three playful pigs . MOT · eng_british_Manchester_II/nic21a.cha, line 951 · Nicole 2;08
  6. three +/. MOT · eng_british_Manchester_II/nic21a.cha, line 1069 · Nicole 2;08
  7. three kissing kittens ? INV · eng_british_Manchester_II/nic21a.cha, line 1071 · Nicole 2;08
  8. three kissing kittens ? MOT · eng_british_Manchester_II/nic21a.cha, line 1073 · Nicole 2;08
  9. one two three four five oh six . MOT · eng_british_Manchester_II/nic21a.cha, line 1085 · Nicole 2;08
  10. one two three four five six seven . MOT · eng_british_Manchester_II/nic21a.cha, line 1098 · Nicole 2;08
  11. three kittens in the attic bed+room . MOT · eng_british_Manchester_II/nic21a.cha, line 1180 · Nicole 2;08
  12. three what ? MOT · eng_british_Manchester_II/nic21a.cha, line 1398 · Nicole 2;08
  13. three pennys . MOT · eng_british_Manchester_II/nic21a.cha, line 1400 · Nicole 2;08
  14. three pounds ? MOT · eng_british_Manchester_II/nic21a.cha, line 1404 · Nicole 2;08
  15. one two three four five six and seven . MOT · eng_british_Manchester_II/nic21a.cha, line 1491 · Nicole 2;08
  1. MOTand there's some flowers .
    CHINicole .
    MOT*MOT: three +//.
    MOTare you gonna [: going to] do those ?
    CHIyeah .
  2. MOTor can you tell me ?
    CHINicole do one .
    MOT*MOT: three playful pigs .
    MOTis that what you're going to color ?
    MOTthree +/.
  3. MOTthree playful pigs .
    MOTis that what you're going to color ?
    MOT*MOT: three +/.
    CHIa lady here .
    CHIlady here .
  4. CHIxxx .
    CHIthree pigs .
    MOT*MOT: three pigs .
    MOTyeah .
    MOTso what're we going to do ?
  5. MOTso what're we going to do ?
    MOTone dozing dog .
    MOT*MOT: two beautiful butterflys or three playful pigs .
    CHIxxx .
    MOTno .
  6. CHIthree kissing kittens .
    MOToh .
    MOT*MOT: three +/.
    INVthree kissing kittens ?
    MOTthree kissing kittens ?
  7. MOToh .
    MOTthree +/.
    INV*INV: three kissing kittens ?
    MOTthree kissing kittens ?
    MOToh .
  8. MOTthree +/.
    INVthree kissing kittens ?
    MOT*MOT: three kissing kittens ?
    MOToh .
    MOTbut it's not .
  9. MOTit's six slippery snakes .
    MOTare there six ?
    MOT*MOT: one two three four five oh six .
    MOTyeah .
    CHItwo rabbits .
  10. MOTthere's not two rabbits .
    MOTit says seven bouncing bunnys .
    MOT*MOT: one two three four five six seven .
    MOToh yeah .
    MOTeight bright balloons .
  11. MOTand how many kittens do we have in the attic bed+room ?
    CHIone two three .
    MOT*MOT: three kittens in the attic bed+room .
    MOTwell .
    MOTI'm amazed .
  12. MOThow much are you selling the kittens for ?
    CHIone two three .
    MOT*MOT: three what ?
    MOTthree pennys .
    MOTthree pounds ?
  13. CHIone two three .
    MOTthree what ?
    MOT*MOT: three pennys .
    MOTthree pounds ?
    CHIone two .
  14. MOTthree what ?
    MOTthree pennys .
    MOT*MOT: three pounds ?
    CHIone two .
    CHIspoiling it .
  15. CHIxxx .
    MOTseven bouncing bunnys .
    MOT*MOT: one two three four five six and seven .
    CHIxxx .
    MOTI'm going to do a pink balloon .

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. Nicole eng_british_Manchester_II7.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic21a.chaNicole 2;8.292,04015157.35

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. three15 · 100.0%