PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (365 utterances, 1,309 words searched).

  1. cheeky ! MOT · eng_british_Manchester_I/gail29b.cha, line 398 · Gail 2;09
  2. you're cheeky , aren't you ? MOT · eng_british_Manchester_I/gail29b.cha, line 522 · Gail 2;09
  3. cheeky . MOT · eng_british_Manchester_I/gail29b.cha, line 526 · Gail 2;09
  1. eng_british_Manchester_I/gail29b.cha, line 398 · Gail, 2;9.25
    CHII don't want those ones .
    MOToh right .
    MOT*MOT: cheeky !
    MOTshall I brush your hair ?
    MOTget the knots out ?
  2. eng_british_Manchester_I/gail29b.cha, line 522 · Gail, 2;9.25
    MOTjust trying to make polite conversation .
    INVsay it how it is , Gail .
    MOT*MOT: you're cheeky , aren't you ?
    CHIyeah .
    MOTcheeky .
  3. eng_british_Manchester_I/gail29b.cha, line 526 · Gail, 2;9.25
    MOTyou're cheeky , aren't you ?
    CHIyeah .
    MOT*MOT: cheeky .
    MOTmmhm .
    MOTthink your socks (wi)ll be dry now ?

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. Gail eng_british_Manchester_I2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail29b.chaGail 2;9.251,309332.29

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. cheeky3 · 100.0%