PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 1,838 words searched).

  1. she's going to do . MOT · eng_british_Manchester_II/nic33b.cha, line 1775 · Nicole 3;00
  2. she's there . MOT · eng_british_Manchester_II/nic33b.cha, line 1791 · Nicole 3;00
  3. she's fast asleep . MOT · eng_british_Manchester_II/nic33b.cha, line 1797 · Nicole 3;00
  4. she's fast asleep , look . MOT · eng_british_Manchester_II/nic33b.cha, line 1805 · Nicole 3;00
  5. she's fast asleep , isn't she ? MOT · eng_british_Manchester_II/nic33b.cha, line 1822 · Nicole 3;00
  1. INVI [/] I am going to .
    INVhang on .
    MOT*MOT: she's going to do .
    MOTany second now .
    MOTany second .
  2. MOTwhere is she ?
    MOToh .
    MOT*MOT: she's there .
    MOTdon't wake her up then .
    MOTdon't wake her up .
  3. MOTdon't wake her up then .
    MOTdon't wake her up .
    MOT*MOT: she's fast asleep .
    CHIonly tickling her .
    MOTno .
  4. MOTno .
    MOTdon't .
    MOT*MOT: she's fast asleep , look .
    MOTisn't she ?
    MOTshe must've had a good night last night wherever she went .
  5. CHImmhm .
    MOThmm ?
    MOT*MOT: she's fast asleep , isn't she ?
    MOTshe [/] she missed us didn't +...

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_II2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic33b.chaNicole 3;0.031,838552.72

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. she's5 · 100.0%