PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (334 utterances, 1,226 words searched).

  1. you have to say is Barney wearing a hat ? MOT · eng_british_Manchester_I/becky30a.cha, line 1269 · Becky 2;10
  2. I say is Barney wearing a hat ? MOT · eng_british_Manchester_I/becky30a.cha, line 1276 · Becky 2;10
  3. is he wearing a hat ? MOT · eng_british_Manchester_I/becky30a.cha, line 1278 · Becky 2;10
  4. I'll do his hat . MOT · eng_british_Manchester_I/becky30a.cha, line 1410 · Becky 2;10
  5. what about a nice orange hat for him ? MOT · eng_british_Manchester_I/becky30a.cha, line 1412 · Becky 2;10
  1. eng_british_Manchester_I/becky30a.cha, line 1269 · Becky, 2;10.12
    MOTright .
    MOTshall we do this one ?
    MOT*MOT: you have to say is Barney wearing a hat ?
    CHIis Barney wearing a hat ?
    MOTno .
  2. eng_british_Manchester_I/becky30a.cha, line 1276 · Becky, 2;10.12
    CHIis Barney wearing a hat ?
    MOTno .
    MOT*MOT: I say is Barney wearing a hat ?
    MOTis he wearing a hat ?
    CHIyeah .
  3. eng_british_Manchester_I/becky30a.cha, line 1278 · Becky, 2;10.12
    MOTno .
    MOTI say is Barney wearing a hat ?
    MOT*MOT: is he wearing a hat ?
    CHIyeah .
    MOTis his waistcoat stripey or spotty ?
  4. eng_british_Manchester_I/becky30a.cha, line 1410 · Becky, 2;10.12
    MOTgreen tummy then for Barney .
    MOTdo you want to do his tummy ?
    MOT*MOT: I'll do his hat .
    MOTwhat about a nice orange hat for him ?
    CHIoh .
  5. eng_british_Manchester_I/becky30a.cha, line 1412 · Becky, 2;10.12
    MOTdo you want to do his tummy ?
    MOTI'll do his hat .
    MOT*MOT: what about a nice orange hat for him ?
    CHIoh .
    MOTorange ?

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. Becky eng_british_Manchester_I4.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30a.chaBecky 2;10.121,226554.08

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. hat5 · 100.0%