PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (418 utterances, 1,533 words searched).

  1. oh: what's that ? MOT · eng_british_Manchester_I/carl07b.cha, line 42 · Carl 1;11
  2. what's the name of the helicopter ? MOT · eng_british_Manchester_I/carl07b.cha, line 494 · Carl 1;11
  3. what's in here ? MOT · eng_british_Manchester_I/carl07b.cha, line 582 · Carl 1;11
  4. what's in here ? MOT · eng_british_Manchester_I/carl07b.cha, line 584 · Carl 1;11
  5. shall we see what's under here ? MOT · eng_british_Manchester_I/carl07b.cha, line 1093 · Carl 1;11
  6. what's Nana doing ? MOT · eng_british_Manchester_I/carl07b.cha, line 1274 · Carl 1;11
  7. well you can ask her what's she doing . MOT · eng_british_Manchester_I/carl07b.cha, line 1276 · Carl 1;11
  8. what's that Carl ? MOT · eng_british_Manchester_I/carl07b.cha, line 1396 · Carl 1;11
  1. MOThmm ?
    MOTyou're a menace , aren't you Carl ?
    MOT*MOT: oh: what's that ?
    CHIthat .
    MOTwhat was that ?
  2. MOTdo you remember his name ?
    CHIhis name .
    MOT*MOT: what's the name of the helicopter ?
    CHIthe name (heli)copter .
    CHIin the car .
  3. MOToh Carl .
    MOTI think your bike needs fixing .
    MOT*MOT: what's in here ?
    MOTwhat's in here ?
    CHIwhat's in there ?
  4. MOTI think your bike needs fixing .
    MOTwhat's in here ?
    MOT*MOT: what's in here ?
    CHIwhat's in there ?
    MOToh look .
  5. MOTwhat happened ?
    MOTwhat happened to what ?
    MOT*MOT: shall we see what's under here ?
    CHIhere .
    CHIwhat's in here ?
  6. CHIdoing ?
    CHIwhat doing Nana ?
    MOT*MOT: what's Nana doing ?
    MOTwell you can ask her what's she doing .
    CHIhello .
  7. CHIwhat doing Nana ?
    MOTwhat's Nana doing ?
    MOT*MOT: well you can ask her what's she doing .
    CHIhello .
    MOTask if they're going for a walk .
  8. MOTlook .
    CHIwhere phone gone ?
    MOT*MOT: what's that Carl ?
    CHIwhere's the phone gone ?
    CHIwhere's the phone gone ?

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. Carl eng_british_Manchester_I5.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl07b.chaCarl 1;11.031,533885.22

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. what's8 · 100.0%