PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,533 words searched).

  1. why don't you sit here ? INV · eng_british_Manchester_II/joel16b.cha, line 41 · Joel 2;04
  2. do you want to bring the field and we'll put it here ? INV · eng_british_Manchester_II/joel16b.cha, line 76 · Joel 2;04
  3. we could put the monkey here <on the> [/] on the fence . INV · eng_british_Manchester_II/joel16b.cha, line 108 · Joel 2;04
  4. what have we got in here ? MOT · eng_british_Manchester_II/joel16b.cha, line 277 · Joel 2;04
  5. here it is . MOT · eng_british_Manchester_II/joel16b.cha, line 421 · Joel 2;04
  6. you've got lots here . MOT · eng_british_Manchester_II/joel16b.cha, line 879 · Joel 2;04
  7. I've got a little friend here , haven't I ? INV · eng_british_Manchester_II/joel16b.cha, line 1027 · Joel 2;04
  1. INVI'll sit next to you .
    CHIxxx .
    INV*INV: why don't you sit here ?
    CHIalright .
    CHIalright .
  2. CHIwilln't [*] fit .
    INVdoesn't it ?
    INV*INV: do you want to bring the field and we'll put it here ?
    CHIDuplo those .
    CHIlet's go .
  3. CHIthere that is &a monkey .
    CHIthat is the monkey .
    INV*INV: we could put the monkey here <on the> [/] on the fence .
    CHIDaddy whale .
    INVDaddy whale .
  4. MOTright .
    INVdo you want to look in this then now ?
    MOT*MOT: what have we got in here ?
    CHIa panda .
    MOTgood old panda .
  5. MOTcan you find the meat ?
    MOTthe beef+burger ?
    MOT*MOT: here it is .
    MOTwhere does that go ?
    MOTon the top .
  6. MOT<don't you want> [/] don't you want them now you've bought them ?
    MOTyou don't need any more , look .
    MOT*MOT: you've got lots here .
    CHIxxx .
    MOThold that .
  7. MOTcan Rachel have a kiss ?
    INVoh lovely .
    INV*INV: I've got a little friend here , haven't I ?
    MOTI know .
    MOThe was very upset last week because you didn't come .

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. Joel eng_british_Manchester_II4.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel16b.chaJoel 2;4.021,533774.57

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. here7 · 100.0%