PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

4.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (649 utterances, 2,464 words searched).

  1. was there one in the car ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1036 · Ruth 1;11
  2. do you want this one ? INV · eng_british_Manchester_II/ruth01a.cha, line 1095 · Ruth 1;11
  3. which one ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1275 · Ruth 1;11
  4. two one . MOT · eng_british_Manchester_II/ruth01a.cha, line 1551 · Ruth 1;11
  5. I don't think I'm one of them . MOT · eng_british_Manchester_II/ruth01a.cha, line 1563 · Ruth 1;11
  6. oh <is that> [/] is that a Dada one ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1568 · Ruth 1;11
  7. and that's a baba one . MOT · eng_british_Manchester_II/ruth01a.cha, line 1576 · Ruth 1;11
  8. are you going to listen to this one then ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1601 · Ruth 1;11
  9. which one ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1945 · Ruth 1;11
  10. where did you have one ? MOT · eng_british_Manchester_II/ruth01a.cha, line 1967 · Ruth 1;11
  11. you had one here . MOT · eng_british_Manchester_II/ruth01a.cha, line 1975 · Ruth 1;11
  1. MOTand you go aah , did you ?
    CHImmhm .
    MOT*MOT: was there one in the car ?
    CHImmhm .
    MOTwas there ?
  2. CHIyeah .
    INVand some more for me ?
    INV*INV: do you want this one ?
    INVthere you go .
    MOTwhat did we have for tea yesterday ?
  3. MOTbut do you want milk or water ?
    MOTmilk or water ?
    MOT*MOT: which one ?
    CHIthere .
    MOTwhat do you want in there ?
  4. CHItwo .
    MOTtwo ?
    MOT*MOT: two one .
    MOTtwo by two .
    MOTwho's this ?
  5. MOTwho's that ?
    CHIMama .
    MOT*MOT: I don't think I'm one of them .
    CHIDada .
    MOToh <is that> [/] is that a Dada one ?
  6. MOTI don't think I'm one of them .
    CHIDada .
    MOT*MOT: oh <is that> [/] is that a Dada one ?
    CHImmhm .
    MOTwhat is it ?
  7. MOTwhat is it ?
    CHIbaba .
    MOT*MOT: and that's a baba one .
    MOTright .
    MOTwhat is it ?
  8. MOTokay .
    MOThave you finished this book ?
    MOT*MOT: are you going to listen to this one then ?
    CHImmhm .
    MOTwhat does this little girl say ?
  9. CHImore .
    MOTthis baba had a plaster once , didn't +//.
    MOT*MOT: which one ?
    MOTwhere's little brown baba ?
    CHIthere .
  10. MOTyes .
    MOTwhere did you have a plaster this weekend ?
    MOT*MOT: where did you have one ?
    CHIon there .
    MOTyou had +//.
  11. MOTyou had +//.
    MOTRuth .
    MOT*MOT: you had one here .
    MOTdo you remember ?
    MOTand you had a smiley face on it .

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_II4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth01a.chaRuth 1;11.152,46411114.46

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. one11 · 100.0%