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. how do you get it out ? MOT · eng_USA_Bliss/norjusti.cha, line 16 · Justin 4;06
  2. how do you get the pieces out ? MOT · eng_USA_Bliss/norjusti.cha, line 19 · Justin 4;06
  3. can you get it ? MOT · eng_USA_Bliss/norjusti.cha, line 105 · Justin 4;06
  4. and if you get down here it's [/] there's twenty . MOT · eng_USA_Bliss/norjusti.cha, line 536 · Justin 4;06
  5. and when we get the pairs we'll play . FAT · eng_USA_Bliss/norjusti.cha, line 1038 · Justin 4;06
  6. how many do you wanna get this time ? FAT · eng_USA_Bliss/norjusti.cha, line 1102 · Justin 4;06
  7. sooner or later we're gonna get that banana . FAT · eng_USA_Bliss/norjusti.cha, line 1507 · Justin 4;06
  1. MOTwanna take it apart first ?
    CHIright here +...
    MOT*MOT: how do you get it out ?
    MOThow do you get the pieces out ?
    MOTlike this ?
  2. CHIright here +...
    MOThow do you get it out ?
    MOT*MOT: how do you get the pieces out ?
    MOTlike this ?
    CHIyeah .
  3. MOTnow what ?
    CHIit's my turn .
    MOT*MOT: can you get it ?
    MOTthere .
    MOTthere's not much talking to this puzzle is there ?
  4. CHIone two three four five <six seven> [<] eight nine (.) nine ten .
    MOT<six seven> [>] ten .
    MOT*MOT: and if you get down here it's [/] there's twenty .
    CHImhm .
    MOTtwenty what ?
  5. CHIfor these +...
    FATokay .
    FAT*FAT: and when we get the pairs we'll play .
    CHImix it up .
    FATyeah .
  6. FAThow many should we use this time ?
    CHIwhat ?
    FAT*FAT: how many do you wanna get this time ?
    FATjust a few ?
    CHIwhat ?
  7. CHIget another .
    FATyeah .
    FAT*FAT: sooner or later we're gonna get that banana .
    FATthere you go .
    FAToh you're really skunking me now .

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. get7 · 100.0%