PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (458 utterances, 1,837 words searched).

  1. see if I can make +//. MOT · eng_british_Manchester_I/anne33b.cha, line 330 · Anne 2;09
  2. we could make +//. MOT · eng_british_Manchester_I/anne33b.cha, line 396 · Anne 2;09
  3. what could I make ? MOT · eng_british_Manchester_I/anne33b.cha, line 398 · Anne 2;09
  4. let's think of something different to make today . MOT · eng_british_Manchester_I/anne33b.cha, line 400 · Anne 2;09
  5. shall we make um a pub ? MOT · eng_british_Manchester_I/anne33b.cha, line 405 · Anne 2;09
  6. or shall we make a church ? MOT · eng_british_Manchester_I/anne33b.cha, line 428 · Anne 2;09
  7. make a church instead . MOT · eng_british_Manchester_I/anne33b.cha, line 434 · Anne 2;09
  1. MOTshall I have a go ?
    CHIput the [//] her bib on .
    MOT*MOT: see if I can make +//.
    MOToh .
    MOTshe wants her bib on ,, does she ?
  2. CHIxxx .
    MOTit's a very nice one .
    MOT*MOT: we could make +//.
    MOTwhat could I make ?
    MOTlet's think of something different to make today .
  3. MOTit's a very nice one .
    MOTwe could make +//.
    MOT*MOT: what could I make ?
    MOTlet's think of something different to make today .
    MOTwhat about +//.
  4. MOTwe could make +//.
    MOTwhat could I make ?
    MOT*MOT: let's think of something different to make today .
    MOTwhat about +//.
    MOTshall we make um a pub ?
  5. MOTlet's think of something different to make today .
    MOTwhat about +//.
    MOT*MOT: shall we make um a pub ?
    CHIyeah .
    MOTshall we build a pub ?
  6. MOTwhere can the slide go ?
    MOTin this pub ?
    MOT*MOT: or shall we make a church ?
    MOThey ?
    CHImake a church .
  7. MOThey ?
    CHImake a church .
    MOT*MOT: make a church instead .
    MOTalright then .
    MOTthere we go .

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_I3.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne33b.chaAnne 2;9.081,837773.81

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. make7 · 100.0%