PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,530 words searched).

  1. what are you going to call him ? MOT · eng_british_Manchester_II/john29a.cha, line 69 · John 2;09
  2. nineteen , are there ? INV · eng_british_Manchester_II/john29a.cha, line 285 · John 2;09
  3. where are the beads ? MOT · eng_british_Manchester_II/john29a.cha, line 310 · John 2;09
  4. and there are lots of number tens that you've not done either . MOT · eng_british_Manchester_II/john29a.cha, line 499 · John 2;09
  5. shall I take her back or are you happy to cuddle ? MOT · eng_british_Manchester_II/john29a.cha, line 641 · John 2;09
  6. how many raindrops are there on the page ? MOT · eng_british_Manchester_II/john29a.cha, line 733 · John 2;09
  7. are you there ? MOT · eng_british_Manchester_II/john29a.cha, line 1007 · John 2;09
  8. are you okay ? MOT · eng_british_Manchester_II/john29a.cha, line 1127 · John 2;09
  9. well usually the roofs are at the top . MOT · eng_british_Manchester_II/john29a.cha, line 1176 · John 2;09
  1. CHIDaddy bought it in Stephanie .
    MOTyes .
    MOT*MOT: what are you going to call him ?
    CHIer dog .
    MOTthat's a good name .
  2. INVI can see that .
    CHIone two three four five six seven eight nine ten eleven twelve fourteen sixteen seventeen sixteen seventeen nineteen .
    INV*INV: nineteen , are there ?
    MOTwow .
    MOTthat's a lot .
  3. MOTshall we finish some of those off ?
    CHIMummy want to see .
    MOT*MOT: where are the beads ?
    CHII stop a button .
    CHII stop a button .
  4. MOTyeah .
    MOTI think it's a car .
    MOT*MOT: and there are lots of number tens that you've not done either .
    MOTshall we draw some of those ?
    MOTyou can color them in , can't you ?
  5. MOTno .
    MOTwhen she has a bath it'll come off .
    MOT*MOT: shall I take her back or are you happy to cuddle ?
    CHItickling .
    MOTyeah .
  6. MOTlet's count the raindrops , shall we ?
    MOTJohn .
    MOT*MOT: how many raindrops are there on the page ?
    CHII 0am [*] doing this one .
    MOTmmhm .
  7. MOTJohn .
    MOTJohn .
    MOT*MOT: are you there ?
    INVwww .
    MOTJohn .
  8. MOToh John .
    INVoh .
    MOT*MOT: are you okay ?
    CHIyes .
    MOTokay .
  9. CHIJohn 0is [*] making [/] making a roof .
    CHII 0am [*] making a roof .
    MOT*MOT: well usually the roofs are at the top .
    MOTthat's on the bottom .
    MOTmaybe it's the floor .

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. John eng_british_Manchester_II5.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john29a.chaJohn 2;9.051,530995.88

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. are9 · 100.0%