PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. you want that one on now ? MOT · eng_british_Manchester_I/becky01b.cha, line 552 · Becky 2;00
  2. so you want this one off ? MOT · eng_british_Manchester_I/becky01b.cha, line 560 · Becky 2;00
  3. do I want one ? MOT · eng_british_Manchester_I/becky01b.cha, line 841 · Becky 2;00
  4. Tig [//] there's one . MOT · eng_british_Manchester_I/becky01b.cha, line 1394 · Becky 2;00
  5. which one's the ice+cream ? MOT · eng_british_Manchester_I/becky01b.cha, line 1857 · Becky 2;00
  6. oh it's that one, is it ? MOT · eng_british_Manchester_I/becky01b.cha, line 1861 · Becky 2;00
  1. eng_british_Manchester_I/becky01b.cha, line 552 · Becky, 2;0.07
    CHIxxx .
    CHIon .
    MOT*MOT: you want that one on now ?
    CHIyeah .
    MOTbut we've just put this on .
  2. eng_british_Manchester_I/becky01b.cha, line 560 · Becky, 2;0.07
    MOTbut we've just put this on .
    CHIon .
    MOT*MOT: so you want this one off ?
    CHIyeah .
    MOTxxx .
  3. eng_british_Manchester_I/becky01b.cha, line 841 · Becky, 2;0.07
    MOThmm ?
    CHIone ?
    MOT*MOT: do I want one ?
    MOTthank you .
    MOTit's nice .
  4. eng_british_Manchester_I/becky01b.cha, line 1394 · Becky, 2;0.07
    MOTcan you see any more ?
    CHIin there .
    MOT*MOT: Tig [//] there's one .
    MOTtake [/] take him off .
    MOTput him in .
  5. eng_british_Manchester_I/becky01b.cha, line 1857 · Becky, 2;0.07
    MOTin there, is it ?
    MOTshow me .
    MOT*MOT: which one's the ice+cream ?
    CHIin there .
    MOToh it's that one, is it ?
  6. eng_british_Manchester_I/becky01b.cha, line 1861 · Becky, 2;0.07
    MOTwhich one's the ice+cream ?
    CHIin there .
    MOT*MOT: oh it's that one, is it ?
    CHImmhm [>] .
    MOTmmhm [<] .

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_I3.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502663.99

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. one6 · 100.0%