PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (492 utterances, 2,004 words searched).

  1. what are you making with the toys then ? MOT · eng_british_Manchester_II/nic25a.cha, line 197 · Nicole 2;09
  2. what're you making ? MOT · eng_british_Manchester_II/nic25a.cha, line 297 · Nicole 2;09
  3. what're you making ? MOT · eng_british_Manchester_II/nic25a.cha, line 954 · Nicole 2;09
  4. are you making scrambled eggs ? MOT · eng_british_Manchester_II/nic25a.cha, line 970 · Nicole 2;09
  5. are you making an omelette ? MOT · eng_british_Manchester_II/nic25a.cha, line 972 · Nicole 2;09
  6. are you making Yorkshire pudding ? MOT · eng_british_Manchester_II/nic25a.cha, line 974 · Nicole 2;09
  7. what're you making then with your eggs ? MOT · eng_british_Manchester_II/nic25a.cha, line 980 · Nicole 2;09
  8. she spent ages making that fruit+bowl as well . MOT · eng_british_Manchester_II/nic25a.cha, line 1037 · Nicole 2;09
  9. shall I carry on making my big Yorkshire pudding . MOT · eng_british_Manchester_II/nic25a.cha, line 1285 · Nicole 2;09
  10. in to making patterns , are we at the moment ? MOT · eng_british_Manchester_II/nic25a.cha, line 1579 · Nicole 2;09
  1. eng_british_Manchester_II/nic25a.cha, line 197 · Nicole, 2;9.09
    CHInot likely .
    MOTthat's nice .
    MOT*MOT: what are you making with the toys then ?
    MOTwith the playdough ?
    MOTcan I have some ?
  2. eng_british_Manchester_II/nic25a.cha, line 297 · Nicole, 2;9.09
    MOToh .
    MOTthat's pretty , isn't it ?
    MOT*MOT: what're you making ?
    CHIcarrot cake .
    MOTcarrot cake ?
  3. eng_british_Manchester_II/nic25a.cha, line 954 · Nicole, 2;9.09
    MOTI'm going to do a tree now .
    CHIxxx .
    MOT*MOT: what're you making ?
    CHIeggs .
    MOTeggs .
  4. eng_british_Manchester_II/nic25a.cha, line 970 · Nicole, 2;9.09
    MOTNicole .
    MOTwhat're you going to do with your eggs ?
    MOT*MOT: are you making scrambled eggs ?
    MOTare you making an omelette ?
    MOTare you making Yorkshire pudding ?
  5. eng_british_Manchester_II/nic25a.cha, line 972 · Nicole, 2;9.09
    MOTwhat're you going to do with your eggs ?
    MOTare you making scrambled eggs ?
    MOT*MOT: are you making an omelette ?
    MOTare you making Yorkshire pudding ?
    CHIno .
  6. eng_british_Manchester_II/nic25a.cha, line 974 · Nicole, 2;9.09
    MOTare you making scrambled eggs ?
    MOTare you making an omelette ?
    MOT*MOT: are you making Yorkshire pudding ?
    CHIno .
    MOTno ?
  7. eng_british_Manchester_II/nic25a.cha, line 980 · Nicole, 2;9.09
    CHIno .
    MOTno ?
    MOT*MOT: what're you making then with your eggs ?
    CHIum one egg .
    MOTone egg ?
  8. eng_british_Manchester_II/nic25a.cha, line 1037 · Nicole, 2;9.09
    MOTaah .
    MOTpoor Caroline .
    MOT*MOT: she spent ages making that fruit+bowl as well .
    INVoh .
    INVmy bananas have gone too .
  9. eng_british_Manchester_II/nic25a.cha, line 1285 · Nicole, 2;9.09
    MOTsit round and let's do something with the playdough .
    MOTmmhm .
    MOT*MOT: shall I carry on making my big Yorkshire pudding .
    MOTor would you like to make some savory mince or chicken curry to go in this big Yorkshire pudding ?
    CHIcan we cook it ?
  10. eng_british_Manchester_II/nic25a.cha, line 1579 · Nicole, 2;9.09
    MOToh .
    MOTalright then .
    MOT*MOT: in to making patterns , are we at the moment ?
    MOThmm ?
    MOTwhat're you going to do with that ?

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_II4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic25a.chaNicole 2;9.092,00410104.99

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. making10 · 100.0%