PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

2.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. let's make something . INV · eng_british_Manchester_II/nic05b.cha, line 295 · Nicole 2;02
  2. now # <let's build up some> [/] let's build up some high walls here . INV · eng_british_Manchester_II/nic05b.cha, line 320 · Nicole 2;02
  3. now # <let's build up some> [/] let's build up some high walls here . INV · eng_british_Manchester_II/nic05b.cha, line 320 · Nicole 2;02
  4. let's bring these in a bit . INV · eng_british_Manchester_II/nic05b.cha, line 368 · Nicole 2;02
  5. let's look for her trousers, Nicole . MOT · eng_british_Manchester_II/nic05b.cha, line 656 · Nicole 2;02
  6. let's put the whale # on the car # like that . MOT · eng_british_Manchester_II/nic05b.cha, line 742 · Nicole 2;02
  1. MOTyou stay there while [//] with Rachel while I just run upstairs and get a biscuit .
    INVlook at all these things though .
    INV*INV: let's make something .
    MOTmake [/] make something with Rachel while Mummy gets a biscuit .
    MOTyeah ?
  2. INVshall we make it on here so it stays up ?
    INVI'll take these off .
    INV*INV: now # <let's build up some> [/] let's build up some high walls here .
    INVdo you want to put that one on that side ?
    INVon there .
  3. INVdo you want that bit on ?
    INVI think it's not going reach though .
    INV*INV: let's bring these in a bit .
    INVoh this one's too short .
    INVit needs another bit .
  4. MOThas she got some trousers oh .
    INVjust behind you .
    MOT*MOT: let's look for her trousers, Nicole .
    MOTlook for dolly's trousers .
    MOTyou'll have to sit up properly .
  5. MOToh dear, we are miserable , aren't we ?
    CHIxxx .
    MOT*MOT: let's put the whale # on the car # like that .
    MOToh he willn't fit .
    MOThe willn't stick .

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_II2.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,049562.93

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. let's6 · 100.0%