PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

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

  1. alright . MOT · eng_british_Manchester_I/becky30a.cha, line 122 · Becky 2;10
  2. alright . MOT · eng_british_Manchester_I/becky30a.cha, line 145 · Becky 2;10
  3. alright . MOT · eng_british_Manchester_I/becky30a.cha, line 178 · Becky 2;10
  4. are we doing alright ? MOT · eng_british_Manchester_I/becky30a.cha, line 518 · Becky 2;10
  5. alright . MOT · eng_british_Manchester_I/becky30a.cha, line 809 · Becky 2;10
  6. you're alright . MOT · eng_british_Manchester_I/becky30a.cha, line 918 · Becky 2;10
  7. alright . MOT · eng_british_Manchester_I/becky30a.cha, line 1483 · Becky 2;10
  8. oh alright . MOT · eng_british_Manchester_I/becky30a.cha, line 1518 · Becky 2;10
  1. CHIwe didn't get the train+set .
    MOTyou want me to get the train+set out ?
    MOT*MOT: alright .
    CHIyes please .
    MOThere .
  2. CHIyou make me circle .
    MOTa circle ?
    MOT*MOT: alright .
    MOTcan we take dolly out of the bath now ?
    MOTBecky .
  3. CHIyeah .
    CHIshe go to bed now , Mummy .
    MOT*MOT: alright .
    MOTlet's put her pajamas on .
    CHIoh no .
  4. MOThow're we doing ?
    CHIum this +/.
    MOT*MOT: are we doing alright ?
    CHIyeah .
    CHIxxx .
  5. MOTyou've wet your trousers ?
    CHIno .
    MOT*MOT: alright .
    MOTleave them +//.
    MOTno no .
  6. MOTwhat's happened ?
    MOTnothing .
    MOT*MOT: you're alright .
    CHIwhat did I do , Mum ?
    CHIwhat did I do ?
  7. CHIwe have to color these in .
    MOToh .
    MOT*MOT: alright .
    CHIthere's another windmill .
    MOTthere's what ?
  8. MOTI was going to do them brown .
    CHIum I do one pink and you do these brown .
    MOT*MOT: oh alright .
    MOTyou do that one pink then .
    CHIand this 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. Becky eng_british_Manchester_I6.53
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky30a.chaBecky 2;10.121,226886.53

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. alright8 · 100.0%