PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (533 utterances, 2,018 words searched).

  1. would you like to have your lunch ? MOT · eng_USA_Brown/eve06.cha, line 1413 · Eve 1;09
  2. what else would you like to have for your lunch ? MOT · eng_USA_Brown/eve06.cha, line 1462 · Eve 1;09
  3. this is lunch now . MOT · eng_USA_Brown/eve06.cha, line 1805 · Eve 1;09
  4. after lunch . MOT · eng_USA_Brown/eve06.cha, line 3138 · Eve 1;09
  5. first we'll have some lunch and then you take a nap . MOT · eng_USA_Brown/eve06.cha, line 3141 · Eve 1;09
  6. for lunch we're going to have chips . MOT · eng_USA_Brown/eve06.cha, line 3576 · Eve 1;09
  1. eng_USA_Brown/eve06.cha, line 1413 · Eve, 1;9.
    FATwho else ?
    CHIbaby Sarah .
    MOT*MOT: would you like to have your lunch ?
    CHIno .
    MOT# having tapioca .
  2. eng_USA_Brown/eve06.cha, line 1462 · Eve, 1;9.
    CHIwhere stool ?
    MOTwhere is the stool ?
    MOT*MOT: what else would you like to have for your lunch ?
    CHIcheese .
    MOTcheese ?
  3. eng_USA_Brown/eve06.cha, line 1805 · Eve, 1;9.
    CHIyeah .
    MOTyou had breakfast +...
    MOT*MOT: this is lunch now .
    CHIwho come .
    MOThere he comes .
  4. eng_USA_Brown/eve06.cha, line 3138 · Eve, 1;9.
    MOTyou want to take a nap now ?
    CHIyep .
    MOT*MOT: after lunch .
    MOTfirst we'll have some lunch and then you take a nap .
    CHIno .
  5. eng_USA_Brown/eve06.cha, line 3141 · Eve, 1;9.
    CHIyep .
    MOTafter lunch .
    MOT*MOT: first we'll have some lunch and then you take a nap .
    CHIno .
    MOTxxx .
  6. eng_USA_Brown/eve06.cha, line 3576 · Eve, 1;9.
    MOTplease get out of the sink .
    CHIhuh ?
    MOT*MOT: for lunch we're going to have chips .
    MOTyou like that ?
    CHIwhere Pap go ?

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. Eve eng_USA_Brown2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve06.chaEve 1;9.2,018662.97

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. lunch6 · 100.0%