PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,070 words searched).

  1. what's your name ? MOT · eng_USA_Valian/21c.cha, line 68 · 21C 2;03
  2. what's his name ? MOT · eng_USA_Valian/21c.cha, line 687 · 21C 2;03
  3. what's your name ? MOT · eng_USA_Valian/21c.cha, line 1044 · 21C 2;03
  4. she tells everyone her name is two . [+ V] MOT · eng_USA_Valian/21c.cha, line 1048 · 21C 2;03
  5. what's your name ? MOT · eng_USA_Valian/21c.cha, line 1053 · 21C 2;03
  6. what's your name ? MOT · eng_USA_Valian/21c.cha, line 1055 · 21C 2;03
  7. Lastname, right, but what's your first name [=! laughter] ? MOT · eng_USA_Valian/21c.cha, line 1059 · 21C 2;03
  8. what's your other name ? MOT · eng_USA_Valian/21c.cha, line 1067 · 21C 2;03
  1. CHIxx .
    MOT[- as puppet] hi there .
    MOT*MOT: what's your name ?
    CHIxxx .
    MOTwanna pick him up ?
  2. MOTwhat's this one ?
    CHIlet me do .
    MOT*MOT: what's his name ?
    CHIuh, two .
    MOTtwo, xxx .
  3. CHIin, in .
    CHIlook .
    MOT*MOT: what's your name ?
    CHIum, two .
    MOTshe tells everyone her name is two . [+ V]
  4. MOTwhat's your name ?
    CHIum, two .
    MOT*MOT: she tells everyone her name is two . [+ V]
    CHIthere, they in .
    MOTwhat's your name ?
  5. MOTshe tells everyone her name is two . [+ V]
    CHIthere, they in .
    MOT*MOT: what's your name ?
    MOTwhat's your name ?
    CHILastname !
  6. CHIthere, they in .
    MOTwhat's your name ?
    MOT*MOT: what's your name ?
    CHILastname !
    MOTLastname, right, but what's your first name [=! laughter] ?
  7. MOTwhat's your name ?
    CHILastname !
    MOT*MOT: Lastname, right, but what's your first name [=! laughter] ?
    CHILastname .
    MOTright, you never answer that one when I ask .
  8. CHILastname .
    MOTright, you never answer that one when I ask .
    MOT*MOT: what's your other name ?
    CHItwo [% inv and IN2 laugh] .
    MOToh .

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. 21C eng_USA_Valian7.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/21c.cha21C 2;3.171,070887.48

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. name8 · 100.0%