PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (603 utterances, 2,348 words searched).

  1. gonna [: going to] cut it out now ? MOT · eng_british_Manchester_I/anne33a.cha, line 433 · Anne 2;09
  2. you've cut my tummy . MOT · eng_british_Manchester_I/anne33a.cha, line 450 · Anne 2;09
  3. cut up there then , look . MOT · eng_british_Manchester_I/anne33a.cha, line 457 · Anne 2;09
  4. you can try and cut along that line . MOT · eng_british_Manchester_I/anne33a.cha, line 462 · Anne 2;09
  5. shall we draw something else to cut out ? MOT · eng_british_Manchester_I/anne33a.cha, line 485 · Anne 2;09
  6. what else shall we draw to cut out ? MOT · eng_british_Manchester_I/anne33a.cha, line 488 · Anne 2;09
  1. MOTgood .
    CHIcut it out .
    MOT*MOT: gonna [: going to] cut it out now ?
    MOTokeydokey .
    CHIare we going on holiday later ?
  2. CHIyeah .
    MOTwhat about my tummy ?
    MOT*MOT: you've cut my tummy .
    CHII'm cutting [/] cutting so I can stick [/] stick you .
    MOTyou're cutting him so you can stick him .
  3. CHII'm cutting [/] cutting so I can stick [/] stick you .
    MOTyou're cutting him so you can stick him .
    MOT*MOT: cut up there then , look .
    MOTlet me see if I can draw a line .
    MOTyou can try and cut along that line .
  4. MOTcut up there then , look .
    MOTlet me see if I can draw a line .
    MOT*MOT: you can try and cut along that line .
    MOToh .
    MOTwell done .
  5. MOTwhoops .
    MOTdone it .
    MOT*MOT: shall we draw something else to cut out ?
    MOTwhat else shall we draw to cut out ?
    MOTshall we draw a seaside ?
  6. MOTdone it .
    MOTshall we draw something else to cut out ?
    MOT*MOT: what else shall we draw to cut out ?
    MOTshall we draw a seaside ?
    MOTshall we draw a bucket and spade ?

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. Anne eng_british_Manchester_I2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne33a.chaAnne 2;9.082,348662.56

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. cut6 · 100.0%