PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (591 utterances, 1,988 words searched).

  1. let's see how it goes . MOT · eng_british_Manchester_I/becky02a.cha, line 379 · Becky 2;00
  2. let's get your doll's house down then . MOT · eng_british_Manchester_I/becky02a.cha, line 865 · Becky 2;00
  3. and let's put the umbrella out as well . MOT · eng_british_Manchester_I/becky02a.cha, line 1300 · Becky 2;00
  4. <let's do another one> [<] . MOT · eng_british_Manchester_I/becky02a.cha, line 1666 · Becky 2;00
  5. let's see what else there is . MOT · eng_british_Manchester_I/becky02a.cha, line 1668 · Becky 2;00
  6. let's make it blue, shall we ? MOT · eng_british_Manchester_I/becky02a.cha, line 1926 · Becky 2;00
  7. let's make it red . MOT · eng_british_Manchester_I/becky02a.cha, line 1953 · Becky 2;00
  1. CHIthere .
    MOTare you going to wind your train up now then ?
    MOT*MOT: let's see how it goes .
    MOThere's the key .
    CHItrain .
  2. MOTdon't be naughty .
    MOTcome on .
    MOT*MOT: let's get your doll's house down then .
    CHIyeah .
    CHIdoll+house .
  3. MOTshall we put the people back in the house ?
    CHIyeah .
    MOT*MOT: and let's put the umbrella out as well .
    MOT<window out> [>] .
    MOT<so you want> [<] your crayons out, do you ?
  4. CHIa door .
    CHI<yellow door> [>] .
    MOT*MOT: <let's do another one> [<] .
    MOTlet's see what else there is .
    MOToh there's a good one, look .
  5. CHI<yellow door> [>] .
    MOT<let's do another one> [<] .
    MOT*MOT: let's see what else there is .
    MOToh there's a good one, look .
    MOTthere's Noddy .
  6. MOTteddy's dress ?
    CHIeyes .
    MOT*MOT: let's make it blue, shall we ?
    CHIblue .
    MOTblue dress .
  7. MOTthis is a ladybird .
    MOTladybirds are red, aren't they ?
    MOT*MOT: let's make it red .
    CHIred .
    CHIand more .

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_I3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky02a.chaBecky 2;0.141,988773.52

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. let's7 · 100.0%