PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 3,010 words searched).

  1. would you like this cake ,, dolly ? MOT · eng_british_Manchester_I/aran13b.cha, line 77 · Aran 2;03
  2. oh you like baked beans ,, don't you ? MOT · eng_british_Manchester_I/aran13b.cha, line 145 · Aran 2;03
  3. what do you think monkeys like ? MOT · eng_british_Manchester_I/aran13b.cha, line 424 · Aran 2;03
  4. do you think monkeys like sausages ? MOT · eng_british_Manchester_I/aran13b.cha, line 426 · Aran 2;03
  5. they don't stick down like lego darling . MOT · eng_british_Manchester_I/aran13b.cha, line 513 · Aran 2;03
  6. what are the things that you like best ? MOT · eng_british_Manchester_I/aran13b.cha, line 998 · Aran 2;03
  7. do you like spaghetti ? MOT · eng_british_Manchester_I/aran13b.cha, line 1003 · Aran 2;03
  8. do you like Postman_Pat spaghetti ? MOT · eng_british_Manchester_I/aran13b.cha, line 1007 · Aran 2;03
  9. would you like Mummy to rub it better ? MOT · eng_british_Manchester_I/aran13b.cha, line 1447 · Aran 2;03
  10. looks like a snowman with a hat on though ,, doesn't it ? MOT · eng_british_Manchester_I/aran13b.cha, line 1807 · Aran 2;03
  1. MOTnot to dolly .
    MOToh I'm going to give dolly a big kiss .
    MOT*MOT: would you like this cake ,, dolly ?
    MOTonly Aran's not been good enough to have a cake ,, has he ?
    MOTnot pulling your hair .
  2. MOTlet go please .
    MOTare you putting the baked [/] baked beans +//.
    MOT*MOT: oh you like baked beans ,, don't you ?
    CHIme .
    MOTbaked beans and beef burgers .
  3. CHIlet me .
    MOTand the monkey as well .
    MOT*MOT: what do you think monkeys like ?
    MOTdo you think monkeys like sausages ?
    CHIyeah .
  4. MOTand the monkey as well .
    MOTwhat do you think monkeys like ?
    MOT*MOT: do you think monkeys like sausages ?
    CHIyeah .
    MOTwell I think they prefer bananas ,, don't they ?
  5. MOThere's another fence so we can get them all in .
    MOTno .
    MOT*MOT: they don't stick down like lego darling .
    MOTyou're just going to have to stand them up .
    MOThere we are .
  6. MOTwhat are we going to put in our shopping bag ?
    CHIlet me .
    MOT*MOT: what are the things that you like best ?
    MOThmm ?
    MOTdo you like spaghetti ?
  7. MOTwhat are the things that you like best ?
    MOThmm ?
    MOT*MOT: do you like spaghetti ?
    CHIyeah .
    MOTdo you like Postman_Pat spaghetti ?
  8. MOTdo you like spaghetti ?
    CHIyeah .
    MOT*MOT: do you like Postman_Pat spaghetti ?
    CHIyeah .
    MOTwell shall we have a tin of spaghetti then ?
  9. CHII hurt .
    MOToh you've been hurt ,, have you ?
    MOT*MOT: would you like Mummy to rub it better ?
    MOTwhich bit have you hurt ?
    CHIjust my head .
  10. MOToh it isn't actually a snowman darling .
    MOTit's a little soldier .
    MOT*MOT: looks like a snowman with a hat on though ,, doesn't it ?
    MOTare you going to sit down ?
    CHIyeah .

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. Aran eng_british_Manchester_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran13b.chaAran 2;3.153,01010103.32

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.

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