PHPCLANCHILDES with regular expressions

15 matches in 13 utterances

7.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (540 utterances, 2,043 words searched).

  1. are they clean pants ? MOT · eng_british_Manchester_I/anne14b.cha, line 102 · Anne 2;02
  2. they're dry ,, are they ? MOT · eng_british_Manchester_I/anne14b.cha, line 106 · Anne 2;02
  3. they're dry ,, are they ? MOT · eng_british_Manchester_I/anne14b.cha, line 106 · Anne 2;02
  4. they've been in the bath but they're dry . MOT · eng_british_Manchester_I/anne14b.cha, line 114 · Anne 2;02
  5. they've been in the bath but they're dry . MOT · eng_british_Manchester_I/anne14b.cha, line 114 · Anne 2;02
  6. they're on the floor now . INV · eng_british_Manchester_I/anne14b.cha, line 434 · Anne 2;02
  7. they're behind you . MOT · eng_british_Manchester_I/anne14b.cha, line 436 · Anne 2;02
  8. because they've got sand in them . MOT · eng_british_Manchester_I/anne14b.cha, line 1003 · Anne 2;02
  9. usually on the aeroplane they bring you some dinner . MOT · eng_british_Manchester_I/anne14b.cha, line 1149 · Anne 2;02
  10. what are they ? MOT · eng_british_Manchester_I/anne14b.cha, line 1352 · Anne 2;02
  11. that's what the earrings have made you think about ,, haven't they ? MOT · eng_british_Manchester_I/anne14b.cha, line 1407 · Anne 2;02
  12. so what did they have to do ? MOT · eng_british_Manchester_I/anne14b.cha, line 1437 · Anne 2;02
  13. they're the same now . MOT · eng_british_Manchester_I/anne14b.cha, line 1802 · Anne 2;02
  14. biscuits don't make for good conversation ,, do they really ? MOT · eng_british_Manchester_I/anne14b.cha, line 1809 · Anne 2;02
  15. and they say we're the king of the castles . MOT · eng_british_Manchester_I/anne14b.cha, line 1819 · Anne 2;02
  1. MOTput some pants on .
    CHIthey not dirty .
    MOT*MOT: are they clean pants ?
    CHIyeah .
    MOTthey're dry ,, are they ?
  2. MOTare they clean pants ?
    CHIyeah .
    MOT*MOT: they're dry ,, are they ?
    CHIyeah .
    INVthat was quick .
  3. INVthat was quick .
    CHIbeen in the bath .
    MOT*MOT: they've been in the bath but they're dry .
    CHII 0am [*] gonna [: going to] put her clothes on .
    MOTyou're gonna [: going to] put her clothes on .
  4. INVyou've pulled them out there , Anne .
    INVlook .
    INV*INV: they're on the floor now .
    MOTthey're behind you .
    INVby your knee .
  5. INVlook .
    INVthey're on the floor now .
    MOT*MOT: they're behind you .
    INVby your knee .
    MOThere , look .
  6. MOTwe'll have to throw them in the bin now .
    CHIyeah .
    MOT*MOT: because they've got sand in them .
    CHII sit on it .
    MOToh right .
  7. MOToh .
    MOTwell .
    MOT*MOT: usually on the aeroplane they bring you some dinner .
    MOTyou don't need to have a picnic .
    CHII wanted some +//.
  8. CHIhere you are .
    CHIhere you are .
    MOT*MOT: what are they ?
    CHIput earring up there .
    MOTput my earrings on .
  9. MOTwell .
    MOTwe'll watch Rosie and Jim later , Anne .
    MOT*MOT: that's what the earrings have made you think about ,, haven't they ?
    CHIno .
    CHIAnne watch it with Caroline .
  10. CHIthey drop in the water .
    MOTit dropped in the water ,, didn't it ?
    MOT*MOT: so what did they have to do ?
    CHIget the +//.
    CHII want to see .
  11. MOToh .
    MOTthere .
    MOT*MOT: they're the same now .
    MOTand along comes the giraffe .
    MOTand he says what are you two doing up there ?
  12. MOTand along comes the giraffe .
    MOTand he says what are you two doing up there ?
    MOT*MOT: biscuits don't make for good conversation ,, do they really ?
    CHIwhat're you doing up there ?
    MOTsays we're [/] we're looking at the [/] the scenery .
  13. MOTsays we're [/] we're looking at the [/] the scenery .
    MOTlooking at the view .
    MOT*MOT: and they say we're the king of the castles .
    CHIgo down then .
    MOTget down then .

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. Anne eng_british_Manchester_I7.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne14b.chaAnne 2;2.122,04313157.34

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. they15 · 100.0%