PHPCLANCHILDES with regular expressions

13 matches in 12 utterances

8.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (468 utterances, 1,571 words searched).

  1. why is he a dirty dog ? MOT · eng_british_Manchester_I/becky13b.cha, line 66 · Becky 2;04
  2. he's not a very nice color , is he ? INV · eng_british_Manchester_I/becky13b.cha, line 68 · Becky 2;04
  3. he's not a very nice color , is he ? INV · eng_british_Manchester_I/becky13b.cha, line 68 · Becky 2;04
  4. he's a grey dog . INV · eng_british_Manchester_I/becky13b.cha, line 71 · Becky 2;04
  5. is that why he's dirty ? MOT · eng_british_Manchester_I/becky13b.cha, line 73 · Becky 2;04
  6. Spot_the_dog's got spots , hasn't he ? MOT · eng_british_Manchester_I/becky13b.cha, line 197 · Becky 2;04
  7. has he got any spots ? MOT · eng_british_Manchester_I/becky13b.cha, line 208 · Becky 2;04
  8. he took them off . MOT · eng_british_Manchester_I/becky13b.cha, line 231 · Becky 2;04
  9. he's crashed . MOT · eng_british_Manchester_I/becky13b.cha, line 407 · Becky 2;04
  10. he's gone in the orange one ? MOT · eng_british_Manchester_I/becky13b.cha, line 417 · Becky 2;04
  11. has he ? MOT · eng_british_Manchester_I/becky13b.cha, line 421 · Becky 2;04
  12. good , isn't he ? MOT · eng_british_Manchester_I/becky13b.cha, line 1459 · Becky 2;04
  13. I can't breathe if he's over my mouth and my nose . MOT · eng_british_Manchester_I/becky13b.cha, line 1586 · Becky 2;04
  1. MOTa dirty dog ?
    CHIyeah .
    MOT*MOT: why is he a dirty dog ?
    INVhe's not a very nice color , is he ?
    INVhe's a grey dog .
  2. CHIyeah .
    MOTwhy is he a dirty dog ?
    INV*INV: he's not a very nice color , is he ?
    INVhe's a grey dog .
    MOTis that why he's dirty ?
  3. MOTwhy is he a dirty dog ?
    INVhe's not a very nice color , is he ?
    INV*INV: he's a grey dog .
    MOTis that why he's dirty ?
    CHImmhm .
  4. INVhe's not a very nice color , is he ?
    INVhe's a grey dog .
    MOT*MOT: is that why he's dirty ?
    CHImmhm .
    MOTI see .
  5. CHISpot .
    MOTit's not Spot_the_dog .
    MOT*MOT: Spot_the_dog's got spots , hasn't he ?
    MOTor one spot .
    CHIyes .
  6. CHIhe does .
    CHIyes .
    MOT*MOT: has he got any spots ?
    INVxxx .
    CHII got more .
  7. INVwww .
    MOToh .
    MOT*MOT: he took them off .
    MOTthey're in here .
    MOTdo you want to put them on ?
  8. INVhooray .
    MOToh .
    MOT*MOT: he's crashed .
    CHIhere we are .
    CHIxxx .
  9. CHIxxx again .
    CHIin the orange one .
    MOT*MOT: he's gone in the orange one ?
    CHIyeah .
    MOThas he ?
  10. MOThe's gone in the orange one ?
    CHIyeah .
    MOT*MOT: has he ?
    CHIyes .
    MOTthat's an orange , isn't it ?
  11. MOTwhoops .
    CHIteddy's doing it .
    MOT*MOT: good , isn't he ?
    MOTwhich one next ?
    CHIthis one next ?
  12. CHIgot nose .
    MOTI think you're gonna [: going to] smother me if you do that .
    MOT*MOT: I can't breathe if he's over my mouth and my nose .
    CHIoh .
    MOToh .

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. Becky eng_british_Manchester_I8.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky13b.chaBecky 2;4.191,57112138.27

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. he13 · 100.0%