PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (637 utterances, 2,284 words searched).

  1. she's eating pie , is she ? INV · eng_british_Manchester_II/nic01a.cha, line 153 · Nicole 2;00
  2. she's having pie for breakfast ? INV · eng_british_Manchester_II/nic01a.cha, line 157 · Nicole 2;00
  3. she's very poorly like you were last week . MOT · eng_british_Manchester_II/nic01a.cha, line 516 · Nicole 2;00
  4. <you tell her> [//] you ask her if she's poorly . MOT · eng_british_Manchester_II/nic01a.cha, line 562 · Nicole 2;00
  5. see if she's been to the doctor . MOT · eng_british_Manchester_II/nic01a.cha, line 592 · Nicole 2;00
  6. ask Lucy if she's been sick . MOT · eng_british_Manchester_II/nic01a.cha, line 608 · Nicole 2;00
  7. she [/] she's going back to work . MOT · eng_british_Manchester_II/nic01a.cha, line 1860 · Nicole 2;00
  1. CHIno .
    CHIpie .
    INV*INV: she's eating pie , is she ?
    MOTyou like pie , don't you ?
    INVshe's having pie for breakfast ?
  2. INVshe's eating pie , is she ?
    MOTyou like pie , don't you ?
    INV*INV: she's having pie for breakfast ?
    MOTmmm .
    INVthat's nice .
  3. MOTLucy's poorly .
    MOTso you willn't be seeing her today .
    MOT*MOT: she's very poorly like you were last week .
    MOTyes .
    MOTshe more than likely has been sick .
  4. MOTthat +/.
    INVall right .
    MOT*MOT: <you tell her> [//] you ask her if she's poorly .
    MOTsay +"/.
    MOT+" hello Lucy .
  5. MOTdid she ?
    MOTask Lucy +//.
    MOT*MOT: see if she's been to the doctor .
    CHIdoctor .
    MOTwhat did Lucy say ?
  6. MOToh .
    MOTyou've got a hair in your mouth then .
    MOT*MOT: ask Lucy if she's been sick .
    MOTlike you were last week .
    CHIyeah .
  7. MOTno .
    MOTCaroline willn't be going .
    MOT*MOT: she [/] she's going back to work .
    INVyou've got to go to the park when Caroline's gone .
    MOTmmhm .

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_II3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284773.06

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's7 · 100.0%