PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (565 utterances, 1,958 words searched).

  1. can you see the tunnel then , Becky ? MOT · eng_british_Manchester_I/becky03b.cha, line 842 · Becky 2;00
  2. <can you> [<] see it ? MOT · eng_british_Manchester_I/becky03b.cha, line 846 · Becky 2;00
  3. see . MOT · eng_british_Manchester_I/becky03b.cha, line 910 · Becky 2;00
  4. why don't you go and see if you can find that ? MOT · eng_british_Manchester_I/becky03b.cha, line 1566 · Becky 2;00
  5. see if I can make three # stand up . MOT · eng_british_Manchester_I/becky03b.cha, line 2080 · Becky 2;00
  6. can you see ? MOT · eng_british_Manchester_I/becky03b.cha, line 2103 · Becky 2;00
  1. eng_british_Manchester_I/becky03b.cha, line 842 · Becky, 2;0.28
    CHIxxx .
    MOTxxx .
    MOT*MOT: can you see the tunnel then , Becky ?
    CHIxxx [>] .
    MOT<can you> [<] see it ?
  2. eng_british_Manchester_I/becky03b.cha, line 846 · Becky, 2;0.28
    MOTcan you see the tunnel then , Becky ?
    CHIxxx [>] .
    MOT*MOT: <can you> [<] see it ?
    MOTcome on then .
    MOTmake the animals go through the tunnel .
  3. eng_british_Manchester_I/becky03b.cha, line 910 · Becky, 2;0.28
    MOTtry again .
    MOTthere we are .
    MOT*MOT: see .
    MOToh .
    MOTthey've all gone through .
  4. eng_british_Manchester_I/becky03b.cha, line 1566 · Becky, 2;0.28
    MOTno , Becky .
    MOTwhat about that shopping basket ?
    MOT*MOT: why don't you go and see if you can find that ?
    CHIxxx .
    MOThmm ?
  5. eng_british_Manchester_I/becky03b.cha, line 2080 · Becky, 2;0.28
    MOTshall I put them on top of one another ?
    CHIyeah .
    MOT*MOT: see if I can make three # stand up .
    CHIxxx .
    MOTand that one ?
  6. eng_british_Manchester_I/becky03b.cha, line 2103 · Becky, 2;0.28
    MOTlook , Becky .
    MOTsomething inside there .
    MOT*MOT: can you see ?
    MOTthat one xxx in there .
    MOTyou can get one in .

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. Becky eng_british_Manchester_I3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky03b.chaBecky 2;0.281,958663.06

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. see6 · 100.0%