PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (395 utterances, 1,472 words searched).

  1. I've made some more lumps now . MOT · eng_british_Manchester_II/liz29a.cha, line 118 · Liz 2;08
  2. oh am I all wet now as well ? INV · eng_british_Manchester_II/liz29a.cha, line 718 · Liz 2;08
  3. now you can get on the table and get them , can't you ? MOT · eng_british_Manchester_II/liz29a.cha, line 890 · Liz 2;08
  4. if you put another caterpillar down now it's snap . MOT · eng_british_Manchester_II/liz29a.cha, line 1084 · Liz 2;08
  5. oh I've got another caterpillar but that's on top of the spider now , isn't it ? MOT · eng_british_Manchester_II/liz29a.cha, line 1091 · Liz 2;08
  6. have you had enough for now ? MOT · eng_british_Manchester_II/liz29a.cha, line 1322 · Liz 2;08
  1. eng_british_Manchester_II/liz29a.cha, line 118 · Liz, 2;8.28
    MOTlet me just pull that mat , Liz .
    MOTotherwise you're gonna [: going to] trip over the lumps in it , aren't you ?
    MOT*MOT: I've made some more lumps now .
    CHIyeah .
    MOTyeah .
  2. eng_british_Manchester_II/liz29a.cha, line 718 · Liz, 2;8.28
    CHII am .
    MOTI see .
    INV*INV: oh am I all wet now as well ?
    INVis that out of your paddling pool ?
    CHIlook .
  3. eng_british_Manchester_II/liz29a.cha, line 890 · Liz, 2;8.28
    MOTwhoops .
    MOTright .
    MOT*MOT: now you can get on the table and get them , can't you ?
    MOTyeah ?
    CHIyeah .
  4. eng_british_Manchester_II/liz29a.cha, line 1084 · Liz, 2;8.28
    MOTno .
    MOTthat's not snap .
    MOT*MOT: if you put another caterpillar down now it's snap .
    MOTno .
    MOTit's a spider .
  5. eng_british_Manchester_II/liz29a.cha, line 1091 · Liz, 2;8.28
    MOTno .
    MOTit's a spider .
    MOT*MOT: oh I've got another caterpillar but that's on top of the spider now , isn't it ?
    CHII 0have [*] got a bee .
    MOTa worm .
  6. eng_british_Manchester_II/liz29a.cha, line 1322 · Liz, 2;8.28
    CHIno .
    MOTokay .
    MOT*MOT: have you had enough for now ?
    CHIno .
    MOTshall we share them out again then ?

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_II4.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz29a.chaLiz 2;8.281,472664.08

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. now6 · 100.0%