PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

9.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (381 utterances, 861 words searched).

  1. here we are . CHI · eng_british_Manchester_I/becky31a.cha, line 514 · Becky 2;10
  2. <what are you> [/] what are you doing ? CHI · eng_british_Manchester_I/becky31a.cha, line 616 · Becky 2;10
  3. <what are you> [/] what are you doing ? CHI · eng_british_Manchester_I/becky31a.cha, line 616 · Becky 2;10
  4. are you playing ? CHI · eng_british_Manchester_I/becky31a.cha, line 800 · Becky 2;10
  5. these are mine . CHI · eng_british_Manchester_I/becky31a.cha, line 889 · Becky 2;10
  6. who are you having ? CHI · eng_british_Manchester_I/becky31a.cha, line 1389 · Becky 2;10
  7. which one are you having ? CHI · eng_british_Manchester_I/becky31a.cha, line 1405 · Becky 2;10
  8. what [/] what are they doing ? CHI · eng_british_Manchester_I/becky31a.cha, line 1469 · Becky 2;10
  1. MOTI don't think you've got me another red one , Becky .
    MOTthat's the only red one you've got .
    CHI*CHI: here we are .
    MOTis that better ?
    CHIyeah .
  2. MOTplaying tennis .
    CHII 0have [*] done all the books .
    CHI*CHI: <what are you> [/] what are you doing ?
    MOTnothing .
    MOTI'm just tidying these up .
  3. MOTone for you and one for me ?
    CHIyeah .
    CHI*CHI: are you playing ?
    MOTthere you are .
    MOTnow .
  4. MOTnever mind xxx .
    CHIno .
    CHI*CHI: these are mine .
    MOTwho's that then ?
    CHINoddy .
  5. MOThave you got them all ?
    CHIyes .
    CHI*CHI: who are you having ?
    MOTyou haven't got Two_tone .
    MOTwhere's [/] where's Two_tone ?
  6. MOTthe other Two_tone's in the box .
    CHIwhich [/] which one mine ?
    CHI*CHI: which one are you having ?
    MOTI'll have Two_tone .
    MOThe's got dirty feet , hasn't he ?
  7. CHIthey like each other .
    MOTaah .
    CHI*CHI: what [/] what are they doing ?
    MOTthey're having a kiss as well .
    MOTlittle sniff and a kiss .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I9.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky31a.chaBecky 2;10.25861789.29

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. are8 · 100.0%