PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

4.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (475 utterances, 1,674 words searched).

  1. thank you very much . MOT · eng_british_Manchester_I/anne01b.cha, line 712 · Anne 1;10
  2. these willn't keep her feet very dry ,, will they ? MOT · eng_british_Manchester_I/anne01b.cha, line 875 · Anne 1;10
  3. very trendy . MOT · eng_british_Manchester_I/anne01b.cha, line 881 · Anne 1;10
  4. very old+fashioned perhaps . MOT · eng_british_Manchester_I/anne01b.cha, line 885 · Anne 1;10
  5. +" and giraffe says very very nice but I'm going to sneeze . MOT · eng_british_Manchester_I/anne01b.cha, line 1624 · Anne 1;10
  6. +" and giraffe says very very nice but I'm going to sneeze . MOT · eng_british_Manchester_I/anne01b.cha, line 1624 · Anne 1;10
  7. oh you're doing a very good job of tidying up . MOT · eng_british_Manchester_I/anne01b.cha, line 1639 · Anne 1;10
  1. CHIhello .
    MOThello baby .
    MOT*MOT: thank you very much .
    CHIbaby's .
    MOTwhose cup's that ?
  2. MOTthere we go .
    MOTshe's got one shoe on .
    MOT*MOT: these willn't keep her feet very dry ,, will they ?
    MOTespadrilles .
    MOTvery trendy .
  3. MOTthese willn't keep her feet very dry ,, will they ?
    MOTespadrilles .
    MOT*MOT: very trendy .
    INVhmm .
    MOTvery old+fashioned perhaps .
  4. MOTvery trendy .
    INVhmm .
    MOT*MOT: very old+fashioned perhaps .
    INVwww .
    MOTthere .
  5. MOT+" so he jumps <on the elephant> [//] on the giraffe's nose .
    MOT+" he says what's it like up there .
    MOT*MOT: +" and giraffe says very very nice but I'm going to sneeze .
    MOT+" achoo .
    MOT+" and the giraffe says what's it like down there to the frog .
  6. CHIah .
    MOTah .
    MOT*MOT: oh you're doing a very good job of tidying up .
    MOToh .
    MOTwhoops .

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_I4.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne01b.chaAnne 1;10.071,674674.18

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. very7 · 100.0%