PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (473 utterances, 1,707 words searched).

  1. I don't know where all the bobbins have gone out of that , do you ? MOT · eng_british_Manchester_II/nic30a.cha, line 156 · Nicole 2;10
  2. and there's two of them on there , isn't there ? MOT · eng_british_Manchester_II/nic30a.cha, line 231 · Nicole 2;10
  3. I'm going to sit up here out of your way . MOT · eng_british_Manchester_II/nic30a.cha, line 534 · Nicole 2;10
  4. it's very similar I suppose from your point of view . MOT · eng_british_Manchester_II/nic30a.cha, line 798 · Nicole 2;10
  5. or are we gonna [: going to] put them in groups that are on the side of the [/] the box . MOT · eng_british_Manchester_II/nic30a.cha, line 1272 · Nicole 2;10
  1. MOTjust leave them there then until you're ready for them , shall we ?
    CHIyeah .
    MOT*MOT: I don't know where all the bobbins have gone out of that , do you ?
    MOTbecause we had loads .
    MOTand they've all seemed to have disappeared .
  2. CHIwhat is it ?
    MOTit's a blue one .
    MOT*MOT: and there's two of them on there , isn't there ?
    CHIyeah .
    CHIand where 0is [*] the other one ?
  3. MOTno !
    CHIwhat are you doing ?
    MOT*MOT: I'm going to sit up here out of your way .
    CHIno .
    MOToh .
  4. MOTthere isn't one .
    MOTyou're looking for the letter n@l for your name and that's a h@l .
    MOT*MOT: it's very similar I suppose from your point of view .
    CHIwhat that name ?
    CHImy name .
  5. MOTwhat're we gonna [: going to] do with them ?
    MOTare we going to put them into colors ?
    MOT*MOT: or are we gonna [: going to] put them in groups that are on the side of the [/] the box .
    CHINicole can't find rabbit .
    MOTpardon ?

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. Nicole eng_british_Manchester_II2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic30a.chaNicole 2;10.291,707552.93

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. of5 · 100.0%