PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (237 utterances, 884 words searched).

  1. I don't think Caroline'll be able <to help any more than I can> [>] . MOT · eng_british_Manchester_I/becky23a.cha, line 86 · Becky 2;07
  2. that'd be nice . INV · eng_british_Manchester_I/becky23a.cha, line 154 · Becky 2;07
  3. how many chairs should there be , Becky ? MOT · eng_british_Manchester_I/becky23a.cha, line 192 · Becky 2;07
  4. that'll be nice . MOT · eng_british_Manchester_I/becky23a.cha, line 388 · Becky 2;07
  5. you'll be struck off . INV · eng_british_Manchester_I/becky23a.cha, line 670 · Becky 2;07
  6. be careful . MOT · eng_british_Manchester_I/becky23a.cha, line 684 · Becky 2;07
  7. shouldn't it be the babys that go to bed first ? MOT · eng_british_Manchester_I/becky23a.cha, line 877 · Becky 2;07
  1. CHI<can you> [/] can you help us .
    MOTno .
    MOT*MOT: I don't think Caroline'll be able <to help any more than I can> [>] .
    INV<I don't think there's much room really> [<] .
    INVlet Mummy do it .
  2. MOTso Caroline can see what you're doing .
    INVoh .
    INV*INV: that'd be nice .
    MOTthere we are .
    CHIthere's one .
  3. MOToh .
    MOTwe're a [/] a chair missing .
    MOT*MOT: how many chairs should there be , Becky ?
    CHII find +//.
    CHII [/] I'm gonna [: going to] find one for you .
  4. MOTsome sandwiches and some tomatos ?
    CHIyeah .
    MOT*MOT: that'll be nice .
    CHIis that more tomato ?
    CHIis it +...
  5. MOTyou're a vicious doctor , you are .
    MOTyou like hurting your +...
    INV*INV: you'll be struck off .
    MOTno no .
    MOTnot with faces .
  6. CHII'm a doctor .
    CHII'm mending with that .
    MOT*MOT: be careful .
    MOTI know they're not sharp but they might hurt me .
    CHImending xxx .
  7. MOTit's time for all of them to go to bed ?
    CHIyeah .
    MOT*MOT: shouldn't it be the babys that go to bed first ?
    MOTnot the Mummy and Daddy .
    CHIno .

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_I7.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky23a.chaBecky 2;7.26884777.92

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. be7 · 100.0%