PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. so let's have a look . MOT · eng_british_Manchester_I/becky16a.cha, line 257 · Becky 2;05
  2. so you have to get the sticker . MOT · eng_british_Manchester_I/becky16a.cha, line 275 · Becky 2;05
  3. so that it matches up . MOT · eng_british_Manchester_I/becky16a.cha, line 296 · Becky 2;05
  4. so do you think you might look +... MOT · eng_british_Manchester_I/becky16a.cha, line 335 · Becky 2;05
  5. so how many cows have you got now , Becky ? MOT · eng_british_Manchester_I/becky16a.cha, line 593 · Becky 2;05
  6. so it must go here somewhere . MOT · eng_british_Manchester_I/becky16a.cha, line 1020 · Becky 2;05
  7. so can we stick it in that box ? MOT · eng_british_Manchester_I/becky16a.cha, line 1191 · Becky 2;05
  8. so that must be a vase . MOT · eng_british_Manchester_I/becky16a.cha, line 1535 · Becky 2;05
  1. MOTthat's right .
    MOTnow you have to look in the middle and see if you can find # a picture of a carrot .
    MOT*MOT: so let's have a look .
    MOTcan you see a carrot ?
    CHII can't see carrot .
  2. CHIthere .
    MOTthat's right .
    MOT*MOT: so you have to get the sticker .
    MOTshall we take the sticker off ?
    CHIyeah .
  3. MOTno .
    MOTthe other way round , look .
    MOT*MOT: so that it matches up .
    MOTthat's it .
    MOTthere .
  4. MOTyou +//.
    MOTit says which mouse finds cheese ?
    MOT*MOT: so do you think you might look +...
    MOTcan you look for some cheese ?
    CHIyeah .
  5. CHIprobably a paper .
    MOTthere we are .
    MOT*MOT: so how many cows have you got now , Becky ?
    CHIone two .
    CHIRachel's [*] bring more , mum .
  6. CHIno .
    MOTno .
    MOT*MOT: so it must go here somewhere .
    CHIno .
    CHIno .
  7. MOTnumber one goes here .
    MOTit says one rabbit .
    MOT*MOT: so can we stick it in that box ?
    MOTthat's it .
    MOTand number ten goes there .
  8. MOTwell .
    MOTthere are flowers and these are vases .
    MOT*MOT: so that must be a vase .
    MOTcan you see the shape where it fits on here ?
    MOTxxx .

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_I5.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593885.02

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. so8 · 100.0%