PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,049 words searched).

  1. you want to see your one as well ? MOT · eng_british_Manchester_I/anne08b.cha, line 41 · Anne 2;00
  2. we'll have to see ,, willn't [*] we ? MOT · eng_british_Manchester_I/anne08b.cha, line 664 · Anne 2;00
  3. oh I see . MOT · eng_british_Manchester_I/anne08b.cha, line 1362 · Anne 2;00
  4. let's see if we can . MOT · eng_british_Manchester_I/anne08b.cha, line 1366 · Anne 2;00
  5. what can you see on there ? MOT · eng_british_Manchester_I/anne08b.cha, line 1488 · Anne 2;00
  6. and what else can you see ? MOT · eng_british_Manchester_I/anne08b.cha, line 1524 · Anne 2;00
  7. Anne , can you see all these little penguins , look ? MOT · eng_british_Manchester_I/anne08b.cha, line 1526 · Anne 2;00
  1. MOTone two yes .
    CHIsee more one .
    MOT*MOT: you want to see your one as well ?
    MOTwell we might get them muddled up ,, mightn't we ?
    CHIplease .
  2. MOTfor your tea ?
    CHIyeah .
    MOT*MOT: we'll have to see ,, willn't [*] we ?
    MOThere we are then .
    MOTshe's got her dress on .
  3. MOThow are we going to make a bridge ?
    CHIAnne's hand .
    MOT*MOT: oh I see .
    MOTwe need to make a hole at the bottom .
    MOTlet's see if we can .
  4. MOToh I see .
    MOTwe need to make a hole at the bottom .
    MOT*MOT: let's see if we can .
    MOThang on .
    MOToh there .
  5. MOTyes .
    MOTyes .
    MOT*MOT: what can you see on there ?
    CHIlittle .
    MOToh the giraffes have gone missing as well ,, haven't they ?
  6. CHIyes .
    MOTyeah ?
    MOT*MOT: and what else can you see ?
    MOTAnne , can you see all these little penguins , look ?
    MOTone two three four five six seven eight nine ten eleven twelve .
  7. MOTyeah ?
    MOTand what else can you see ?
    MOT*MOT: Anne , can you see all these little penguins , look ?
    MOTone two three four five six seven eight nine ten eleven twelve .
    CHII go in that one .

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. Anne eng_british_Manchester_I3.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne08b.chaAnne 2;0.172,049773.42

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. see7 · 100.0%