PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,350 words searched).

  1. what do you want to play with now ? MOT · eng_british_Manchester_II/liz01b.cha, line 111 · Liz 1;11
  2. you've put them right now , haven't you ? MOT · eng_british_Manchester_II/liz01b.cha, line 177 · Liz 1;11
  3. are you gonna [: going to] chew it now ? MOT · eng_british_Manchester_II/liz01b.cha, line 390 · Liz 1;11
  4. you're going to draw now , are you ? MOT · eng_british_Manchester_II/liz01b.cha, line 516 · Liz 1;11
  5. now let's have a look what's in this now . MOT · eng_british_Manchester_II/liz01b.cha, line 966 · Liz 1;11
  6. now let's have a look what's in this now . MOT · eng_british_Manchester_II/liz01b.cha, line 966 · Liz 1;11
  7. have you finished with that now ? MOT · eng_british_Manchester_II/liz01b.cha, line 1182 · Liz 1;11
  1. eng_british_Manchester_II/liz01b.cha, line 111 · Liz, 1;11.09
    MOThe shall have but a penny a day .
    MOTbecause he can't row any faster .
    MOT*MOT: what do you want to play with now ?
    MOTeh ?
    CHIxxx .
  2. eng_british_Manchester_II/liz01b.cha, line 177 · Liz, 1;11.09
    MOTyeah .
    MOTthere .
    MOT*MOT: you've put them right now , haven't you ?
    CHIstand up .
    MOTmmhm .
  3. eng_british_Manchester_II/liz01b.cha, line 390 · Liz, 1;11.09
    CHIchew it .
    CHImy clock .
    MOT*MOT: are you gonna [: going to] chew it now ?
    MOTno don't .
    MOTdon't .
  4. eng_british_Manchester_II/liz01b.cha, line 516 · Liz, 1;11.09
    CHIdraw .
    CHIdraw .
    MOT*MOT: you're going to draw now , are you ?
    CHIno .
    MOTno .
  5. eng_british_Manchester_II/liz01b.cha, line 966 · Liz, 1;11.09
    MOTit's just a picture .
    MOTisn't it ?
    MOT*MOT: now let's have a look what's in this now .
    CHITank .
    MOToh: .
  6. eng_british_Manchester_II/liz01b.cha, line 1182 · Liz, 1;11.09
    CHIback page .
    CHIno want it .
    MOT*MOT: have you finished with that now ?
    MOTare you going to put this one back then ?
    CHIno .

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. Liz eng_british_Manchester_II5.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz01b.chaLiz 1;11.091,350675.19

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. now7 · 100.0%