PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,916 words searched).

  1. what sort of nose am I looking for ? INV · eng_british_Manchester_I/becky17a.cha, line 1628 · Becky 2;05
  2. you're looking for a hippo's nose . MOT · eng_british_Manchester_I/becky17a.cha, line 1630 · Becky 2;05
  3. you're looking for +... INV · eng_british_Manchester_I/becky17a.cha, line 1870 · Becky 2;05
  4. I [/] I've no idea what sort of nose I'm looking for ? INV · eng_british_Manchester_I/becky17a.cha, line 1876 · Becky 2;05
  5. now I'm looking for one of those noses as well , aren't I ? MOT · eng_british_Manchester_I/becky17a.cha, line 1893 · Becky 2;05
  1. eng_british_Manchester_I/becky17a.cha, line 1628 · Becky, 2;5.29
    CHIxxx .
    MOTCaroline have a go .
    INV*INV: what sort of nose am I looking for ?
    MOTyou're looking for a hippo's nose .
    INVI don't know what a hippo's nose looks like .
  2. eng_british_Manchester_I/becky17a.cha, line 1630 · Becky, 2;5.29
    MOTCaroline have a go .
    INVwhat sort of nose am I looking for ?
    MOT*MOT: you're looking for a hippo's nose .
    INVI don't know what a hippo's nose looks like .
    MOTBecky'll tell you if it's right .
  3. eng_british_Manchester_I/becky17a.cha, line 1870 · Becky, 2;5.29
    MOTput that one back .
    CHIwe 0are [*] looking for a pig .
    INV*INV: you're looking for +...
    INVthat one's for a pig .
    INVyes .
  4. eng_british_Manchester_I/becky17a.cha, line 1876 · Becky, 2;5.29
    INVthat one's for a pig .
    INVyes .
    INV*INV: I [/] I've no idea what sort of nose I'm looking for ?
    MOTno .
    MOTnot that one .
  5. eng_british_Manchester_I/becky17a.cha, line 1893 · Becky, 2;5.29
    MOTno .
    CHIxxx .
    MOT*MOT: now I'm looking for one of those noses as well , aren't I ?
    MOToh .
    MOTno .

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. Becky eng_british_Manchester_I2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky17a.chaBecky 2;5.291,916552.61

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. looking5 · 100.0%