PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,847 words searched).

  1. cheese and bread ? MOT · eng_british_Manchester_I/anne15a.cha, line 1382 · Anne 2;03
  2. cheese and bread . MOT · eng_british_Manchester_I/anne15a.cha, line 1384 · Anne 2;03
  3. there's bread there . MOT · eng_british_Manchester_I/anne15a.cha, line 1386 · Anne 2;03
  4. give her that bread then . MOT · eng_british_Manchester_I/anne15a.cha, line 1390 · Anne 2;03
  5. I thought she was having cheese and bread . MOT · eng_british_Manchester_I/anne15a.cha, line 1404 · Anne 2;03
  6. that my bread . MOT · eng_british_Manchester_I/anne15a.cha, line 1417 · Anne 2;03
  1. eng_british_Manchester_I/anne15a.cha, line 1382 · Anne, 2;3.01
    CHIcheese and bread ?
    CHIoh yeah .
    MOT*MOT: cheese and bread ?
    MOTcheese and bread .
    MOTthere's bread there .
  2. eng_british_Manchester_I/anne15a.cha, line 1384 · Anne, 2;3.01
    CHIoh yeah .
    MOTcheese and bread ?
    MOT*MOT: cheese and bread .
    MOTthere's bread there .
    MOTyou might have to look for some cheese .
  3. eng_british_Manchester_I/anne15a.cha, line 1386 · Anne, 2;3.01
    MOTcheese and bread ?
    MOTcheese and bread .
    MOT*MOT: there's bread there .
    MOTyou might have to look for some cheese .
    MOTgive her that bread then .
  4. eng_british_Manchester_I/anne15a.cha, line 1390 · Anne, 2;3.01
    MOTthere's bread there .
    MOTyou might have to look for some cheese .
    MOT*MOT: give her that bread then .
    MOToh .
    MOTwhere's the cheese ?
  5. eng_british_Manchester_I/anne15a.cha, line 1404 · Anne, 2;3.01
    CHII 0have [*] got some dinner .
    CHIdon't need that .
    MOT*MOT: I thought she was having cheese and bread .
    CHIoh .
    CHIxxx .
  6. eng_british_Manchester_I/anne15a.cha, line 1417 · Anne, 2;3.01
    CHIyou have that one .
    CHIthat's mine's [*] .
    MOT*MOT: that my bread .
    MOTwhoops [>] .
    CHIxxx [<] .

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_I3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne15a.chaAnne 2;3.011,847663.25

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. bread6 · 100.0%