PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

5.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (627 utterances, 2,437 words searched).

  1. I didn't know you were doing them for Anna this morning . MOT · eng_british_Manchester_II/ruth32a.cha, line 45 · Ruth 2;10
  2. we're just doing the silent treatment today , are you ? MOT · eng_british_Manchester_II/ruth32a.cha, line 61 · Ruth 2;10
  3. what're we doing ? MOT · eng_british_Manchester_II/ruth32a.cha, line 689 · Ruth 2;10
  4. what're we doing ? MOT · eng_british_Manchester_II/ruth32a.cha, line 740 · Ruth 2;10
  5. tell me what we're doing ? MOT · eng_british_Manchester_II/ruth32a.cha, line 742 · Ruth 2;10
  6. what're we doing ? MOT · eng_british_Manchester_II/ruth32a.cha, line 917 · Ruth 2;10
  7. I didn't know you were doing those . MOT · eng_british_Manchester_II/ruth32a.cha, line 924 · Ruth 2;10
  8. what're we doing next ? MOT · eng_british_Manchester_II/ruth32a.cha, line 1083 · Ruth 2;10
  9. what are we doing ? MOT · eng_british_Manchester_II/ruth32a.cha, line 1121 · Ruth 2;10
  10. tell me what we're doing darling . MOT · eng_british_Manchester_II/ruth32a.cha, line 1125 · Ruth 2;10
  11. well tell me which one [//] letter we're doing . MOT · eng_british_Manchester_II/ruth32a.cha, line 1134 · Ruth 2;10
  12. I don't know what letters you're doing . MOT · eng_british_Manchester_II/ruth32a.cha, line 1144 · Ruth 2;10
  13. …e of my letters are going in because you're not telling me what we're doing . MOT · eng_british_Manchester_II/ruth32a.cha, line 1151 · Ruth 2;10
  14. and what's it doing in the story ? MOT · eng_british_Manchester_II/ruth32a.cha, line 2049 · Ruth 2;10
  1. MOToh right .
    MOTso did you do those this morning for Anna ?
    MOT*MOT: I didn't know you were doing them for Anna this morning .
    MOThey ?
    MOTdo you like painting ?
  2. MOTwhat's your favorite color when you paint ?
    MOThmm ?
    MOT*MOT: we're just doing the silent treatment today , are you ?
    MOTwww .
    MOTtell Anna what this is .
  3. MOTlet's +//.
    CHIHairy_Hatmans .
    MOT*MOT: what're we doing ?
    MOTHairy_Hatmans .
    CHII want Hairy_Hatman .
  4. MOTyou had two .
    MOTthat's right .
    MOT*MOT: what're we doing ?
    MOTtell me what we're doing ?
    CHIum Naughty_Nicks .
  5. MOTthat's right .
    MOTwhat're we doing ?
    MOT*MOT: tell me what we're doing ?
    CHIum Naughty_Nicks .
    MOTNaughty_Nicks ?
  6. MOThey .
    MOThow did they get in there ?
    MOT*MOT: what're we doing ?
    CHIoh doing those .
    MOTwell let's take them out again because we haven't done these yet .
  7. CHIoh doing those .
    MOTwell let's take them out again because we haven't done these yet .
    MOT*MOT: I didn't know you were doing those .
    MOTwhat are they ?
    MOTdo you know what they are ?
  8. MOTare you being a bit silly+billy ?
    CHIyeah .
    MOT*MOT: what're we doing next ?
    MOToh Munching_Mikes .
    MOTyou have lots and lots and lots of Munching_Mikes , haven't you ?
  9. MOTwould I upset you terribly if I put them in ?
    MOTwhat's that ?
    MOT*MOT: what are we doing ?
    MOTRuth .
    MOTtell me what we're doing darling .
  10. MOTwhat are we doing ?
    MOTRuth .
    MOT*MOT: tell me what we're doing darling .
    CHIputting them in away .
    MOThey .
  11. MOThey .
    MOTthat's +//.
    MOT*MOT: well tell me which one [//] letter we're doing .
    CHIdoing this .
    MOTno , Ruth .
  12. MOTno , Ruth .
    MOTyou're just firing them in now darling .
    MOT*MOT: I don't know what letters you're doing .
    MOTyou're not telling me .
    CHIxxx .
  13. MOTyou're not telling me .
    CHIxxx .
    MOT*MOT: well none of my letters are going in because you're not telling me what we're doing .
    MOTwhat is that ?
    CHIGolden_Girl .
  14. MOTit's in the story .
    CHIyeah .
    MOT*MOT: and what's it doing in the story ?
    CHIit getting xxx .
    MOToh right .

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. Ruth eng_british_Manchester_II5.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth32a.chaRuth 2;10.232,43714145.74

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. doing14 · 100.0%