PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,181 words searched).

  1. what did Blanche say ? MOT · eng_USA_Brown/sarah083.cha, line 585 · Sarah 3;10
  2. I do not # I don't even know the words # never mind how to say it . MOT · eng_USA_Brown/sarah083.cha, line 828 · Sarah 3;10
  3. what's that say ? FAT · eng_USA_Brown/sarah083.cha, line 842 · Sarah 3;10
  1. eng_USA_Brown/sarah083.cha, line 585 · Sarah, 3;10.30
    FATwhere can I get some more coupons ?
    CHIto Zayre's .
    MOT*MOT: what did Blanche say ?
    MOTto Zayres .
    FATdid ya see Blanche ?
  2. eng_USA_Brown/sarah083.cha, line 828 · Sarah, 3;10.30
    FATwho teaches you all the songs ?
    CHIyou did .
    MOT*MOT: I do not # I don't even know the words # never mind how to say it .
    MOTxxx .
    CHIoh # <who # who # who> [/] who .
  3. eng_USA_Brown/sarah083.cha, line 842 · Sarah, 3;10.30
    CHIwhat's this ?
    CHIwhat [/] # what's this say ?
    FAT*FAT: what's that say ?
    CHIyeah .
    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_Brown2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah083.chaSarah 3;10.301,181332.54

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. say3 · 100.0%