PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. <you tell her> [//] you ask her if she's poorly . MOT · eng_british_Manchester_II/nic01a.cha, line 562 · Nicole 2;00
  2. see if she's been to the doctor . MOT · eng_british_Manchester_II/nic01a.cha, line 592 · Nicole 2;00
  3. ask Lucy if she's been sick . MOT · eng_british_Manchester_II/nic01a.cha, line 608 · Nicole 2;00
  4. what are they then if they're not wheels . MOT · eng_british_Manchester_II/nic01a.cha, line 766 · Nicole 2;00
  5. see if she can get it . MOT · eng_british_Manchester_II/nic01a.cha, line 1624 · Nicole 2;00
  6. so we willn't be going now , will we if Lucy's poorly . MOT · eng_british_Manchester_II/nic01a.cha, line 1800 · Nicole 2;00
  1. eng_british_Manchester_II/nic01a.cha, line 562 · Nicole, 2;0.25
    MOTthat +/.
    INVall right .
    MOT*MOT: <you tell her> [//] you ask her if she's poorly .
    MOTsay +"/.
    MOT+" hello Lucy .
  2. eng_british_Manchester_II/nic01a.cha, line 592 · Nicole, 2;0.25
    MOTdid she ?
    MOTask Lucy +//.
    MOT*MOT: see if she's been to the doctor .
    CHIdoctor .
    MOTwhat did Lucy say ?
  3. eng_british_Manchester_II/nic01a.cha, line 608 · Nicole, 2;0.25
    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 .
  4. eng_british_Manchester_II/nic01a.cha, line 766 · Nicole, 2;0.25
    CHImmhm .
    CHIno .
    MOT*MOT: what are they then if they're not wheels .
    CHIxxx .
    INVthank you .
  5. eng_british_Manchester_II/nic01a.cha, line 1624 · Nicole, 2;0.25
    MOTcome here .
    MOTlet Mummy have a look then .
    MOT*MOT: see if she can get it .
    CHIxxx .
    CHIJeff [*] car .
  6. eng_british_Manchester_II/nic01a.cha, line 1800 · Nicole, 2;0.25
    CHIum # park .
    MOTthat's right .
    MOT*MOT: so we willn't be going now , will we if Lucy's poorly .
    INVwww .
    MOTdid you say park ?

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_II2.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01a.chaNicole 2;0.252,284662.63

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. if6 · 100.0%