PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,748 words searched).

  1. what're you doing ? MOT · eng_british_Manchester_II/nic27a.cha, line 123 · Nicole 2;10
  2. what're you doing ? MOT · eng_british_Manchester_II/nic27a.cha, line 127 · Nicole 2;10
  3. you're supposed to be doing some soup , aren't you for us ? MOT · eng_british_Manchester_II/nic27a.cha, line 645 · Nicole 2;10
  4. what're you doing ? MOT · eng_british_Manchester_II/nic27a.cha, line 970 · Nicole 2;10
  5. you're doing what ? MOT · eng_british_Manchester_II/nic27a.cha, line 974 · Nicole 2;10
  6. what [/] what soup are you doing ? MOT · eng_british_Manchester_II/nic27a.cha, line 1129 · Nicole 2;10
  7. I shall sit back up [/] up on the chair if you don't stop doing that . MOT · eng_british_Manchester_II/nic27a.cha, line 1431 · Nicole 2;10
  1. MOTare you going to put it in some bowls then ?
    MOTare we going to have some +...
    MOT*MOT: what're you doing ?
    MOTNicole .
    MOTwhat're you doing ?
  2. MOTwhat're you doing ?
    MOTNicole .
    MOT*MOT: what're you doing ?
    CHIgetting that on .
    MOTalright .
  3. CHIMummy .
    MOTlook .
    MOT*MOT: you're supposed to be doing some soup , aren't you for us ?
    MOTinstead of +/.
    CHIsit here .
  4. CHINicole do this .
    CHInot you .
    MOT*MOT: what're you doing ?
    CHINicole 0is [*] putting that on .
    MOTyou're doing what ?
  5. MOTwhat're you doing ?
    CHINicole 0is [*] putting that on .
    MOT*MOT: you're doing what ?
    CHIxxx .
    CHIthat 0is [*] my tea .
  6. INVokay .
    CHIso [/] so +...
    MOT*MOT: what [/] what soup are you doing ?
    MOTwhat's Mummy got ?
    CHIsoup .
  7. MOThow many pieces of pizza are there ?
    MOTNicole .
    MOT*MOT: I shall sit back up [/] up on the chair if you don't stop doing that .
    CHIaway .
    MOThow many pieces of pizza ?

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_II4.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27a.chaNicole 2;10.011,748774.00

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. doing7 · 100.0%