PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,507 words searched).

  1. what are you going to ask Santa for # Sarah ? KEN · eng_USA_Brown/sarah059.cha, line 170 · Sarah 3;04
  2. whose girl are you ? MOT · eng_USA_Brown/sarah059.cha, line 478 · Sarah 3;04
  3. whose girl are you ? MOT · eng_USA_Brown/sarah059.cha, line 483 · Sarah 3;04
  4. these are for Nana . MOT · eng_USA_Brown/sarah059.cha, line 1046 · Sarah 3;04
  5. these are xxx . MOT · eng_USA_Brown/sarah059.cha, line 1054 · Sarah 3;04
  6. are you going to take him ? KEN · eng_USA_Brown/sarah059.cha, line 1203 · Sarah 3;04
  7. what are ya doin(g) to the poor dog ? MOT · eng_USA_Brown/sarah059.cha, line 1652 · Sarah 3;04
  1. eng_USA_Brown/sarah059.cha, line 170 · Sarah, 3;4.26
    MOTthat's why .
    CHIoh .
    KEN*KEN: what are you going to ask Santa for # Sarah ?
    CHIum +...
    MOTwhat do ya want Santa_Claus to bring you ?
  2. eng_USA_Brown/sarah059.cha, line 478 · Sarah, 3;4.26
    MOTdon't choke me .
    CHIno .
    MOT*MOT: whose girl are you ?
    CHIhuh ?
    MOTwhose girl are you ?
  3. eng_USA_Brown/sarah059.cha, line 483 · Sarah, 3;4.26
    MOTwhose girl are you ?
    CHIhuh ?
    MOT*MOT: whose girl are you ?
    CHImmhm # your girl .
    MOToh .
  4. eng_USA_Brown/sarah059.cha, line 1046 · Sarah, 3;4.26
    MOTwe could've bought him Christmas presents .
    CHIoh !
    MOT*MOT: these are for Nana .
    CHIoh .
    CHIxxx .
  5. eng_USA_Brown/sarah059.cha, line 1054 · Sarah, 3;4.26
    CHIoh .
    CHIxxx .
    MOT*MOT: these are xxx .
    CHIhuh .
    CHIMommy got some more ?
  6. eng_USA_Brown/sarah059.cha, line 1203 · Sarah, 3;4.26
    KENhas Bugs been to see Santa yet ?
    CHInope .
    KEN*KEN: are you going to take him ?
    CHIyes .
    KENno ?
  7. eng_USA_Brown/sarah059.cha, line 1652 · Sarah, 3;4.26
    CHIxxx you ge(t) down # you ge(t) down .
    CHIalright ?
    MOT*MOT: what are ya doin(g) to the poor dog ?
    CHII [/] # I +...
    MOTxxx .

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_Brown4.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507774.64

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%