PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (296 utterances, 1,050 words searched).

  1. I write with my pen . INV · eng_british_Manchester_I/carl11b.cha, line 958 · Carl 1;11
  2. yeah let's get your pen . MOT · eng_british_Manchester_I/carl11b.cha, line 962 · Carl 1;11
  3. she's gone to find you a pen . INV · eng_british_Manchester_I/carl11b.cha, line 977 · Carl 1;11
  4. there's a pen . MOT · eng_british_Manchester_I/carl11b.cha, line 981 · Carl 1;11
  5. Anna's got a pen as well . MOT · eng_british_Manchester_I/carl11b.cha, line 995 · Carl 1;11
  6. you've got a pen , look . MOT · eng_british_Manchester_I/carl11b.cha, line 1099 · Carl 1;11
  7. Mummy got you a pen . MOT · eng_british_Manchester_I/carl11b.cha, line 1101 · Carl 1;11
  8. you want the pen ? MOT · eng_british_Manchester_I/carl11b.cha, line 1168 · Carl 1;11
  1. MOTit's writing .
    INVyeah .
    INV*INV: I write with my pen .
    CHIit's my pen .
    MOTyeah let's get your pen .
  2. INVI write with my pen .
    CHIit's my pen .
    MOT*MOT: yeah let's get your pen .
    MOTcome here .
    MOTwe'll write Carl's name .
  3. CHIMum .
    INVmmhm .
    INV*INV: she's gone to find you a pen .
    MOTyes I'm looking for one .
    MOTthere's a pen .
  4. INVshe's gone to find you a pen .
    MOTyes I'm looking for one .
    MOT*MOT: there's a pen .
    MOTright .
    MOTthis is how we say Carl's name .
  5. CHIlady got a pen .
    MOTthat's right .
    MOT*MOT: Anna's got a pen as well .
    MOThere's a c@l .
    MOTo@l .
  6. MOTwhy don't you draw something ?
    CHIlady got a pen .
    MOT*MOT: you've got a pen , look .
    MOTMummy got you a pen .
    MOThold it in that hand .
  7. CHIlady got a pen .
    MOTyou've got a pen , look .
    MOT*MOT: Mummy got you a pen .
    MOThold it in that hand .
    MOTthat's it .
  8. MOTthat's a tiny baby duck , isn't it ?
    CHIyeah .
    MOT*MOT: you want the pen ?
    CHIwhere 0is [*] the lollipop ?
    CHIand baby .

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. Carl eng_british_Manchester_I7.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl11b.chaCarl 1;11.291,050887.62

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. pen8 · 100.0%