PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

5.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,026 words searched).

  1. here's the car . MOT · eng_british_Manchester_II/nic06b.cha, line 78 · Nicole 2;02
  2. here he comes . MOT · eng_british_Manchester_II/nic06b.cha, line 171 · Nicole 2;02
  3. here he is . MOT · eng_british_Manchester_II/nic06b.cha, line 217 · Nicole 2;02
  4. here's the other man , look . MOT · eng_british_Manchester_II/nic06b.cha, line 219 · Nicole 2;02
  5. here he is , look . MOT · eng_british_Manchester_II/nic06b.cha, line 391 · Nicole 2;02
  6. shall we put him here . MOT · eng_british_Manchester_II/nic06b.cha, line 562 · Nicole 2;02
  7. he'll have to sit here , look . MOT · eng_british_Manchester_II/nic06b.cha, line 605 · Nicole 2;02
  8. here he is , look . MOT · eng_british_Manchester_II/nic06b.cha, line 1132 · Nicole 2;02
  9. get in here if you're going to go with Rachel . MOT · eng_british_Manchester_II/nic06b.cha, line 1200 · Nicole 2;02
  10. come here . MOT · eng_british_Manchester_II/nic06b.cha, line 1504 · Nicole 2;02
  11. come here . MOT · eng_british_Manchester_II/nic06b.cha, line 1506 · Nicole 2;02
  12. come here and have a cuddle . MOT · eng_british_Manchester_II/nic06b.cha, line 1512 · Nicole 2;02
  1. CHIgrrr@o .
    MOTis that a tiger ?
    MOT*MOT: here's the car .
    CHIdo &a there .
    MOTput him on ?
  2. MOToh what are they called ?
    MOTpretend it's Tower_bridge in London and it comes up .
    MOT*MOT: here he comes .
    CHINicole .
    CHIno me .
  3. CHIman .
    MOTare you sat on him ?
    MOT*MOT: here he is .
    MOThere's the other man , look .
    MOTyou've got two men now , haven't you ?
  4. MOTare you sat on him ?
    MOThere he is .
    MOT*MOT: here's the other man , look .
    MOTyou've got two men now , haven't you ?
    CHItwo men .
  5. CHImore .
    INVit's there by your knee .
    MOT*MOT: here he is , look .
    CHIyeah .
    MOTare they the builders , Nicole ?
  6. MOTwe've just got the big whale .
    MOTwhere shall we put +//.
    MOT*MOT: shall we put him here .
    CHIyeah .
    CHIno .
  7. MOTthere .
    MOTwhere can he go ?
    MOT*MOT: he'll have to sit here , look .
    MOTand we'll have to ask the giraffe to move up a bit .
    MOTmove up there giraffe and let this elephant get in .
  8. MOTwww .
    INVwhat're you doing on that chair ?
    MOT*MOT: here he is , look .
    MOTelephant all in his fence .
    MOTall in his +...
  9. MOTright are you going to go back with Rachel now ?
    MOTare you going to go back with Rachel ?
    MOT*MOT: get in here if you're going to go with Rachel .
    MOTI'll pack you away with all the other toys .
    CHIyeah .
  10. MOTno , that's naughty .
    MOTthat was very naughty .
    MOT*MOT: come here .
    MOTcome here .
    MOToh dear .
  11. MOTthat was very naughty .
    MOTcome here .
    MOT*MOT: come here .
    MOToh dear .
    MOTcome on .
  12. MOToh dear .
    MOTcome on .
    MOT*MOT: come here and have a cuddle .
    MOTthat was very naughty .
    MOTyou shouldn't have done that , should you ?

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_II5.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06b.chaNicole 2;2.122,02612125.92

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. here12 · 100.0%