PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,827 words searched).

  1. there's a lot of shopping in that shopping basket , isn't there ? MOT · eng_british_Manchester_II/nic17b.cha, line 73 · Nicole 2;06
  2. and there's a cow . MOT · eng_british_Manchester_II/nic17b.cha, line 146 · Nicole 2;06
  3. there's a lamb . MOT · eng_british_Manchester_II/nic17b.cha, line 176 · Nicole 2;06
  4. there's a lamb . MOT · eng_british_Manchester_II/nic17b.cha, line 184 · Nicole 2;06
  5. there's the bun . MOT · eng_british_Manchester_II/nic17b.cha, line 719 · Nicole 2;06
  6. there's the top . MOT · eng_british_Manchester_II/nic17b.cha, line 721 · Nicole 2;06
  7. there's some green lettuce . MOT · eng_british_Manchester_II/nic17b.cha, line 723 · Nicole 2;06
  8. there's the beef+burger without the beef . MOT · eng_british_Manchester_II/nic17b.cha, line 748 · Nicole 2;06
  1. MOTthat was an accident , wasn't it ?
    MOToh .
    MOT*MOT: there's a lot of shopping in that shopping basket , isn't there ?
    CHIcat+food .
    MOTcat+food .
  2. CHIfarmyard .
    MOTchicken .
    MOT*MOT: and there's a cow .
    CHIthere's a cow .
    MOTxxx .
  3. MOTbehind you .
    MOTnear your shopping basket .
    MOT*MOT: there's a lamb .
    MOTlook .
    MOTcan you see him ?
  4. MOTcan you see him ?
    MOTup here .
    MOT*MOT: there's a lamb .
    CHIxxx .
    CHIright .
  5. MOTshall we make a beef+burger up ?
    MOTshall ?
    MOT*MOT: there's the bun .
    MOTthere's the top .
    MOTthere's some green lettuce .
  6. MOTshall ?
    MOTthere's the bun .
    MOT*MOT: there's the top .
    MOTthere's some green lettuce .
    MOTand some cheese .
  7. MOTthere's the bun .
    MOTthere's the top .
    MOT*MOT: there's some green lettuce .
    MOTand some cheese .
    MOTand that's burger .
  8. INVwww .
    MOTthere we go .
    MOT*MOT: there's the beef+burger without the beef .
    MOTno ?
    MOTxxx .

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. Nicole eng_british_Manchester_II4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic17b.chaNicole 2;6.161,827884.38

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. there's8 · 100.0%