PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 2,071 words searched).

  1. are you looking for the [/] the combine harvester ? MOT · eng_british_Manchester_II/nic27b.cha, line 157 · Nicole 2;10
  2. we're looking for the cow's bottom now , aren't we ? MOT · eng_british_Manchester_II/nic27b.cha, line 262 · Nicole 2;10
  3. and what're we looking for now ? MOT · eng_british_Manchester_II/nic27b.cha, line 292 · Nicole 2;10
  4. looking for the cockerel and the hen sat on a nest . MOT · eng_british_Manchester_II/nic27b.cha, line 346 · Nicole 2;10
  5. are you looking at the tread on Caroline's boots ? MOT · eng_british_Manchester_II/nic27b.cha, line 963 · Nicole 2;10
  6. what're you looking for ? MOT · eng_british_Manchester_II/nic27b.cha, line 1250 · Nicole 2;10
  7. what're you looking for , Nicole ? MOT · eng_british_Manchester_II/nic27b.cha, line 1252 · Nicole 2;10
  1. MOTnow .
    MOTwhat goes at the other end ?
    MOT*MOT: are you looking for the [/] the combine harvester ?
    CHIduck .
    CHIducks .
  2. MOTthere .
    MOTso .
    MOT*MOT: we're looking for the cow's bottom now , aren't we ?
    MOTthat piece .
    MOTdown the side .
  3. CHIand that don't [*] go there .
    CHIthere .
    MOT*MOT: and what're we looking for now ?
    CHIum +...
    MOTpigs .
  4. MOTwhere's the cockerel ?
    MOThe goes there .
    MOT*MOT: looking for the cockerel and the hen sat on a nest .
    MOTwhere is it ?
    CHIxxx .
  5. MOTwhat are you +//.
    MOToh .
    MOT*MOT: are you looking at the tread on Caroline's boots ?
    INVoh .
    INVI wouldn't touch them .
  6. CHItwo .
    MOTtwo .
    MOT*MOT: what're you looking for ?
    MOTwhat're you looking for , Nicole ?
    CHIoh .
  7. MOTtwo .
    MOTwhat're you looking for ?
    MOT*MOT: what're you looking for , Nicole ?
    CHIoh .
    CHINicole want [*] to have +...

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_II3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic27b.chaNicole 2;10.012,071773.38

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. looking7 · 100.0%