PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. shall we find the rest of it so we can mend it ? MOT · eng_british_Manchester_II/warr05a.cha, line 375 · Warren 1;11
  2. I think so . MOT · eng_british_Manchester_II/warr05a.cha, line 504 · Warren 1;11
  3. so it has to be a funny shape . MOT · eng_british_Manchester_II/warr05a.cha, line 968 · Warren 1;11
  4. have to put a door on the cab here so the driver can get in and out . MOT · eng_british_Manchester_II/warr05a.cha, line 1021 · Warren 1;11
  5. the matter is that you pushed me so I cried . MOT · eng_british_Manchester_II/warr05a.cha, line 1437 · Warren 1;11
  6. you've kissed me better so I'm all right . MOT · eng_british_Manchester_II/warr05a.cha, line 1445 · Warren 1;11
  1. CHIthat one .
    MOTthat's the Spot jigsaw , isn't it ?
    MOT*MOT: shall we find the rest of it so we can mend it ?
    MOToh my goodness .
    MOToh there's some more of Spot .
  2. MOTare we gonna [: going to] have a crazy picture ?
    MOTSpot in the style of Picasso .
    MOT*MOT: I think so .
    MOTthat doesn't fit , does it ?
    MOTI think that bit might be wrong .
  3. CHIWarren there .
    MOTthis is a special helicopter that lands on ice okay .
    MOT*MOT: so it has to be a funny shape .
    MOTbecause if it's not a funny shape it doesn't look like a helicopter .
    CHIMummy do it there .
  4. MOTyeah .
    CHIMummy do a brown car .
    MOT*MOT: have to put a door on the cab here so the driver can get in and out .
    MOTand a window .
    MOTthere we go .
  5. CHIwhat 0is [*] the matter Mummy ?
    MOTwhat's the matter ?
    MOT*MOT: the matter is that you pushed me so I cried .
    CHIMummy cry .
    MOTbut I'm better now because you've kissed me .
  6. CHIMummy cry .
    MOTbut I'm better now because you've kissed me .
    MOT*MOT: you've kissed me better so I'm all right .
    CHIit 0is [*] broken down .
    CHIlook .

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. Warren eng_british_Manchester_II2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,039662.94

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. so6 · 100.0%