PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (281 utterances, 974 words searched).

  1. what are those ? MOT · eng_USA_Bliss/norjusti.cha, line 422 · Justin 4;06
  2. what are they (.) ? MOT · eng_USA_Bliss/norjusti.cha, line 456 · Justin 4;06
  3. are you being silly ? MOT · eng_USA_Bliss/norjusti.cha, line 478 · Justin 4;06
  4. yes you are . MOT · eng_USA_Bliss/norjusti.cha, line 487 · Justin 4;06
  5. are you keeping an eye out for your favorite ? FAT · eng_USA_Bliss/norjusti.cha, line 1059 · Justin 4;06
  6. what are they ? FAT · eng_USA_Bliss/norjusti.cha, line 1086 · Justin 4;06
  7. these are yours right ? FAT · eng_USA_Bliss/norjusti.cha, line 1609 · Justin 4;06
  1. eng_USA_Bliss/norjusti.cha, line 422 · Justin, 4;06.
    CHIand one mice .
    MOTand one mice (.) .
    MOT*MOT: what are those ?
    CHIone two three four five six seven eight nine !
    MOTnine (.) that's the biggest .
  2. eng_USA_Bliss/norjusti.cha, line 456 · Justin, 4;06.
    CHIthat's the (.) here's the bigger one and here's the biggest [/] bigger one and here's the biggest one !
    MOTyeah (.) .
    MOT*MOT: what are they (.) ?
    MOTeggs .
    CHIeggs .
  3. eng_USA_Bliss/norjusti.cha, line 478 · Justin, 4;06.
    MOTJustin +...
    CHIone two three four five .
    MOT*MOT: are you being silly ?
    CHIno .
    MOThuh (.) ?
  4. eng_USA_Bliss/norjusti.cha, line 487 · Justin, 4;06.
    CHIno .
    MOThuh (.) ?
    MOT*MOT: yes you are .
    CHIone two three four five six (.) seven eight nine ten !
    MOTokay (.) let's see (.) .
  5. eng_USA_Bliss/norjusti.cha, line 1059 · Justin, 4;06.
    CHIxxx .
    FAT&-um .
    FAT*FAT: are you keeping an eye out for your favorite ?
    CHInope .
    FATwhich one is it ?
  6. eng_USA_Bliss/norjusti.cha, line 1086 · Justin, 4;06.
    FATwhich one was it ?
    CHIlook .
    FAT*FAT: what are they ?
    FATsquares ?
    CHIyep .
  7. eng_USA_Bliss/norjusti.cha, line 1609 · Justin, 4;06.
    CHIoh .
    FATwe could just stack them up and see .
    FAT*FAT: these are yours right ?
    CHIyeah .
    FATokay .

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. Justin eng_USA_Bliss7.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bliss/norjusti.chaJustin 4;06.974777.19

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. are7 · 100.0%