PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,915 words searched).

  1. there she is there , look . MOT · eng_british_Manchester_II/warr16a.cha, line 360 · Warren 2;03
  2. look . MOT · eng_british_Manchester_II/warr16a.cha, line 805 · Warren 2;03
  3. because if you look a rhino has got big horn on its nose . MOT · eng_british_Manchester_II/warr16a.cha, line 959 · Warren 2;03
  4. well if you get down I can get them and we can look at them carefully . MOT · eng_british_Manchester_II/warr16a.cha, line 1162 · Warren 2;03
  5. I wasn't expecting three combs that look like men . MOT · eng_british_Manchester_II/warr16a.cha, line 1380 · Warren 2;03
  6. shall we unlock it and look ? MOT · eng_british_Manchester_II/warr16a.cha, line 1401 · Warren 2;03
  1. eng_british_Manchester_II/warr16a.cha, line 360 · Warren, 2;3.08
    MOTwhoops .
    MOTher head's stuck , isn't it ?
    MOT*MOT: there she is there , look .
    MOTthere's Granny .
    MOTis she a nice Granny ?
  2. eng_british_Manchester_II/warr16a.cha, line 805 · Warren, 2;3.08
    CHIa car .
    CHIxxx .
    MOT*MOT: look .
    MOTGranny's driving the tractor .
    MOTchoo^choo@o .
  3. eng_british_Manchester_II/warr16a.cha, line 959 · Warren, 2;3.08
    CHItwo rhinos .
    MOTaah well that's not a rhino , is it ?
    MOT*MOT: because if you look a rhino has got big horn on its nose .
    MOTwhat's this one ?
    CHIxxx .
  4. eng_british_Manchester_II/warr16a.cha, line 1162 · Warren, 2;3.08
    CHII want to look in there .
    MOTright .
    MOT*MOT: well if you get down I can get them and we can look at them carefully .
    MOTyou've already posted +//.
    MOToh: .
  5. eng_british_Manchester_II/warr16a.cha, line 1380 · Warren, 2;3.08
    MOToh .
    MOTwhat a shock .
    MOT*MOT: I wasn't expecting three combs that look like men .
    CHIyes .
    MOTno .
  6. eng_british_Manchester_II/warr16a.cha, line 1401 · Warren, 2;3.08
    MOThey Warren .
    MOTI wonder what's in that box ?
    MOT*MOT: shall we unlock it and look ?
    CHIyes .
    MOTwhat's in there ?

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. Warren eng_british_Manchester_II3.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr16a.chaWarren 2;3.081,915663.13

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. look6 · 100.0%