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. will you take a picture of me and my dog ? MOT · eng_british_Manchester_I/anne09b.cha, line 617 · Anne 2;00
  2. monkey says will you take a picture of me ? MOT · eng_british_Manchester_I/anne09b.cha, line 662 · Anne 2;00
  3. don't look at me . INV · eng_british_Manchester_I/anne09b.cha, line 807 · Anne 2;00
  4. goodness me . MOT · eng_british_Manchester_I/anne09b.cha, line 1045 · Anne 2;00
  5. are you gonna [: going to] help me ? MOT · eng_british_Manchester_I/anne09b.cha, line 1092 · Anne 2;00
  6. can you give me a kiss ? MOT · eng_british_Manchester_I/anne09b.cha, line 1928 · Anne 2;00
  1. 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 [<] .
  2. 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 .
  3. eng_british_Manchester_I/anne09b.cha, line 807 · Anne, 2;0.29
    MOTI'm not letting that Anne cuddle my baby .
    INVI haven't got +//.
    INV*INV: don't look at me .
    INVI can't help .
    CHIno .
  4. eng_british_Manchester_I/anne09b.cha, line 1045 · Anne, 2;0.29
    MOTwe're gonna [: going to] go and see George another day ,, aren't we ?
    MOTxxx .
    MOT*MOT: goodness me .
    MOTwhat a noise .
    MOTshall we build something with the Duplo ?
  5. eng_british_Manchester_I/anne09b.cha, line 1092 · Anne, 2;0.29
    MOTmake a castle with Caroline's Duplo .
    CHIyes .
    MOT*MOT: are you gonna [: going to] help me ?
    CHIno .
    MOToh .
  6. eng_british_Manchester_I/anne09b.cha, line 1928 · Anne, 2;0.29
    MOTyou look like # um an animal with a long nose with that on your face .
    MOTcan I have one ?
    MOT*MOT: can you give me a kiss ?
    INVoh .
    INVboo .

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. me6 · 100.0%