PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,821 words searched).

  1. is she a nice doll ? MOT · eng_british_Manchester_II/warr04b.cha, line 415 · Warren 1;11
  2. the doll has bare feet . MOT · eng_british_Manchester_II/warr04b.cha, line 582 · Warren 1;11
  3. the doll's behind you . MOT · eng_british_Manchester_II/warr04b.cha, line 589 · Warren 1;11
  4. what's the doll wearing now ? MOT · eng_british_Manchester_II/warr04b.cha, line 631 · Warren 1;11
  5. poor doll . MOT · eng_british_Manchester_II/warr04b.cha, line 705 · Warren 1;11
  6. the doll looks better now , doesn't she with that pretty dress on ? MOT · eng_british_Manchester_II/warr04b.cha, line 731 · Warren 1;11
  7. the doll's watching to see what you're doing . MOT · eng_british_Manchester_II/warr04b.cha, line 752 · Warren 1;11
  1. MOTwhat're you doing ?
    MOTare you giving her a cuddle ?
    MOT*MOT: is she a nice doll ?
    CHII want dress on .
    CHII want dress .
  2. MOTnot like Warren .
    MOTwho's got red socks .
    MOT*MOT: the doll has bare feet .
    CHIdoll .
    CHIdoll 0has [*] gone .
  3. CHIdoll .
    CHIdoll 0has [*] gone .
    MOT*MOT: the doll's behind you .
    MOTjust where you put her .
    MOTlook behind you .
  4. MOToh: .
    MOTshe's not very good at standing up , is she ?
    MOT*MOT: what's the doll wearing now ?
    CHIpants on .
    MOTyes she's got pants on .
  5. CHIno .
    MOToh .
    MOT*MOT: poor doll .
    MOTwell I'll finish dressing her then .
    MOTif you can't be bothered .
  6. MOTnever mind .
    MOTthere .
    MOT*MOT: the doll looks better now , doesn't she with that pretty dress on ?
    CHIthere 0is [*] another one .
    MOTwhat's that ?
  7. MOTexcept the purple ring is much bigger than the red one .
    CHIxxx .
    MOT*MOT: the doll's watching to see what you're doing .
    CHImine .
    MOTshe's interested to see what you do .

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_II3.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr04b.chaWarren 1;11.041,821773.84

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. doll7 · 100.0%