PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. you <haven't even wrote> [//] # didn't even write your list out yet . MOT · eng_USA_Brown/sarah058.cha, line 1030 · Sarah 3;04
  2. <you want to write your list up> [//] # ya want to write your letter to Santa_Claus ? MOT · eng_USA_Brown/sarah058.cha, line 1035 · Sarah 3;04
  3. <you want to write your list up> [//] # ya want to write your letter to Santa_Claus ? MOT · eng_USA_Brown/sarah058.cha, line 1035 · Sarah 3;04
  4. ya have to write it down so I can give it to him # ya know . MOT · eng_USA_Brown/sarah058.cha, line 1093 · Sarah 3;04
  5. you didn't write down the suitcase . MOT · eng_USA_Brown/sarah058.cha, line 1473 · Sarah 3;04
  6. we got ta write those down . MOT · eng_USA_Brown/sarah058.cha, line 1486 · Sarah 3;04
  1. eng_USA_Brown/sarah058.cha, line 1030 · Sarah, 3;4.16
    MOThuh ?
    CHIyeah .
    MOT*MOT: you <haven't even wrote> [//] # didn't even write your list out yet .
    CHI0 .
    MOT<you want to write your list up> [//] # ya want to write your letter to Santa_Claus ?
  2. eng_USA_Brown/sarah058.cha, line 1035 · Sarah, 3;4.16
    MOTyou <haven't even wrote> [//] # didn't even write your list out yet .
    CHI0 .
    MOT*MOT: <you want to write your list up> [//] # ya want to write your letter to Santa_Claus ?
    CHIyeah .
    KENdo they read letters over the radio here ?
  3. eng_USA_Brown/sarah058.cha, line 1093 · Sarah, 3;4.16
    MOTum # what do you want Santa_Claus to bring you ?
    CHI0 .
    MOT*MOT: ya have to write it down so I can give it to him # ya know .
    CHIuh .
    CHII wan(t) .
  4. eng_USA_Brown/sarah058.cha, line 1473 · Sarah, 3;4.16
    CHIthat's # Bonnie_Bride .
    MOToh !
    MOT*MOT: you didn't write down the suitcase .
    MOTdid cha ?
    CHIo:h # we fo(r)got .
  5. eng_USA_Brown/sarah058.cha, line 1486 · Sarah, 3;4.16
    CHIalright .
    MOTyeah .
    MOT*MOT: we got ta write those down .
    MOTwhat else ?
    MOThow about pots and pans ?

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. Sarah eng_USA_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986563.02

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. write6 · 100.0%