PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.47 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 2,026 words searched).

  1. pardon ? INV · eng_british_Manchester_II/nic06b.cha, line 741 · Nicole 2;02
  2. pardon ? MOT · eng_british_Manchester_II/nic06b.cha, line 934 · Nicole 2;02
  3. pardon ? MOT · eng_british_Manchester_II/nic06b.cha, line 981 · Nicole 2;02
  4. pardon ? MOT · eng_british_Manchester_II/nic06b.cha, line 1169 · Nicole 2;02
  5. pardon ? MOT · eng_british_Manchester_II/nic06b.cha, line 1519 · Nicole 2;02
  1. MOTyou'd hardly know she was there , would you ?
    CHIpeepo .
    INV*INV: pardon ?
    CHIpeepo .
    MOTwhat was that ?
  2. CHIwater xxx .
    CHIthe tiger now .
    MOT*MOT: pardon ?
    MOTxxx .
    CHI&a bath .
  3. CHIbubble .
    CHIright .
    MOT*MOT: pardon ?
    MOTbobble .
    CHIyeah .
  4. MOTare we going to start putting these away for Rachel now ?
    CHIno .
    MOT*MOT: pardon ?
    INVcan I have this back ?
    MOTare you going to give Rachel her pan and +...
  5. MOTthat was very naughty .
    MOTyou shouldn't have done that , should you ?
    MOT*MOT: pardon ?
    MOTyou shouldn't have done that .
    MOTthat was very naughty .

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_II2.47
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic06b.chaNicole 2;2.122,026552.47

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. pardon5 · 100.0%