PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (679 utterances, 2,192 words searched).

  1. what're you making ? MOT · eng_british_Manchester_II/nic11a.cha, line 114 · Nicole 2;04
  2. I keep making these balls to make a cat and you keep taking them off me . MOT · eng_british_Manchester_II/nic11a.cha, line 692 · Nicole 2;04
  3. what're you making ? MOT · eng_british_Manchester_II/nic11a.cha, line 825 · Nicole 2;04
  4. I think you're making sausages . INV · eng_british_Manchester_II/nic11a.cha, line 847 · Nicole 2;04
  5. are you making sausages ? MOT · eng_british_Manchester_II/nic11a.cha, line 851 · Nicole 2;04
  6. are you making sausages ? MOT · eng_british_Manchester_II/nic11a.cha, line 857 · Nicole 2;04
  7. you making them some sausages ? INV · eng_british_Manchester_II/nic11a.cha, line 2029 · Nicole 2;04
  8. what are you making now ? MOT · eng_british_Manchester_II/nic11a.cha, line 2064 · Nicole 2;04
  1. MOTwww .
    CHIxxx .
    MOT*MOT: what're you making ?
    MOTwww .
    CHIhere xxx .
  2. MOTBen .
    MOTyes .
    MOT*MOT: I keep making these balls to make a cat and you keep taking them off me .
    MOTdon't you want me to make a cat ?
    CHIno .
  3. CHIyeah .
    CHII cut .
    MOT*MOT: what're you making ?
    CHImake a cake .
    INVa cake ?
  4. INVI'm ready .
    MOToh .
    INV*INV: I think you're making sausages .
    CHIthat .
    MOTare you making sausages ?
  5. INVI think you're making sausages .
    CHIthat .
    MOT*MOT: are you making sausages ?
    CHIyeah .
    MOTare you ?
  6. CHIyeah .
    MOTare you ?
    MOT*MOT: are you making sausages ?
    MOToh dear .
    MOTthere's a lot of effort in this , isn't there eh ?
  7. INVare you gonna [: going to] make +//.
    INVokay .
    INV*INV: you making them some sausages ?
    INVI'll make them some mashed potato .
    CHIoh .
  8. MOTare you going to put them in your pans ?
    MOThmm ?
    MOT*MOT: what are you making now ?
    MOTwhat are you putting +/.

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_II3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic11a.chaNicole 2;4.182,192883.65

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. making8 · 100.0%