PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (89 utterances, 337 words searched).

  1. oh # let's see if we can make some of these go in ! MOT · eng_USA_Bates/nan20.cha, line 7 · Nan 1;08
  2. let me show you another way . MOT · eng_USA_Bates/nan20.cha, line 44 · Nan 1;08
  1. eng_USA_Bates/nan20.cha, line 7 · Nan, 1;8.
    MOT*MOT: oh # let's see if we can make some of these go in !
    MOTshall we close the top # Nan ?
    CHIuh .
  2. eng_USA_Bates/nan20.cha, line 44 · Nan, 1;8.
    MOTyou wan(t) (t)a to do it that way ?
    CHIuh !
    MOT*MOT: let me show you another way .
    MOTwatch !
    MOTsee this circle ?

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. Nan eng_USA_Bates5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/nan20.chaNan 1;8.337225.93

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. let2 · 100.0%