PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (597 utterances, 2,143 words searched).

  1. take Anne's picture ? MOT · eng_british_Manchester_I/anne09b.cha, line 605 · Anne 2;00
  2. will you take a picture of me and my dog ? MOT · eng_british_Manchester_I/anne09b.cha, line 617 · Anne 2;00
  3. monkey says will you take a picture of me ? MOT · eng_british_Manchester_I/anne09b.cha, line 662 · Anne 2;00
  4. take that straw out of your mouth so I can hear you . MOT · eng_british_Manchester_I/anne09b.cha, line 1079 · Anne 2;00
  5. take that in the room . MOT · eng_british_Manchester_I/anne09b.cha, line 1664 · Anne 2;00
  6. we'll take that in the room . MOT · eng_british_Manchester_I/anne09b.cha, line 1668 · Anne 2;00
  1. eng_british_Manchester_I/anne09b.cha, line 605 · Anne, 2;0.29
    MOTcan I have a camera too ?
    MOTsmile .
    MOT*MOT: take Anne's picture ?
    CHIAnne's taking a picture .
    MOTAnne's taking a picture .
  2. eng_british_Manchester_I/anne09b.cha, line 617 · Anne, 2;0.29
    CHIsmile .
    CHIsmile .
    MOT*MOT: will you take a picture of me and my dog ?
    CHIsmile , dog [>] .
    MOTxxx [<] .
  3. eng_british_Manchester_I/anne09b.cha, line 662 · Anne, 2;0.29
    CHIsmile .
    CHIsmile .
    MOT*MOT: monkey says will you take a picture of me ?
    CHIsmile .
    CHIdone it .
  4. eng_british_Manchester_I/anne09b.cha, line 1079 · Anne, 2;0.29
    MOThmm ?
    CHICaroline .
    MOT*MOT: take that straw out of your mouth so I can hear you .
    CHIwith Caroline's .
    MOTwith Caroline's Duplo .
  5. eng_british_Manchester_I/anne09b.cha, line 1664 · Anne, 2;0.29
    MOThmm ?
    CHIAnne take that in room .
    MOT*MOT: take that in the room .
    MOTall right then .
    MOTwe'll take that in the room .
  6. eng_british_Manchester_I/anne09b.cha, line 1668 · Anne, 2;0.29
    MOTtake that in the room .
    MOTall right then .
    MOT*MOT: we'll take that in the room .
    MOTyou've got lots of cups there ,, haven't you ?
    MOTare you going to put them all on the table ?

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_I2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09b.chaAnne 2;0.292,143662.80

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. take6 · 100.0%