PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.65 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (575 utterances, 1,916 words searched).

  1. do you know what this is ? MOT · eng_british_Manchester_I/becky17a.cha, line 877 · Becky 2;05
  2. and do you know what these are ? MOT · eng_british_Manchester_I/becky17a.cha, line 889 · Becky 2;05
  3. do you know what this is ? MOT · eng_british_Manchester_I/becky17a.cha, line 901 · Becky 2;05
  4. I know that has but that doesn't go there . MOT · eng_british_Manchester_I/becky17a.cha, line 1115 · Becky 2;05
  5. I know . MOT · eng_british_Manchester_I/becky17a.cha, line 1149 · Becky 2;05
  6. I know how to play . MOT · eng_british_Manchester_I/becky17a.cha, line 1505 · Becky 2;05
  7. I don't know what a hippo's nose looks like . INV · eng_british_Manchester_I/becky17a.cha, line 1633 · Becky 2;05
  1. MOTand <see what else> [>] we've got .
    CHIxxx [<] .
    MOT*MOT: do you know what this is ?
    CHIit's a tree .
    MOTno .
  2. MOTit's seaweed .
    MOTso that goes in the sea .
    MOT*MOT: and do you know what these are ?
    CHIum they're shells .
    MOTthey're shells .
  3. MOTwhat +/.
    CHIsand .
    MOT*MOT: do you know what this is ?
    CHIum umbrella .
    MOTan umbrella .
  4. MOTsee if you can find another piece with spots on .
    MOToh .
    MOT*MOT: I know that has but that doesn't go there .
    MOTxxx .
    MOTtry one of those pieces .
  5. CHIthere 0are [*] the spots .
    MOTyeah .
    MOT*MOT: I know .
    MOTbut is there another piece with spots on ?
    CHIyeah .
  6. MOTwe [/] we don't need that .
    MOTthat's the rules .
    MOT*MOT: I know how to play .
    MOTput that in there .
    MOTcan you remember how to play , Becky ?
  7. INVwhat sort of nose am I looking for ?
    MOTyou're looking for a hippo's nose .
    INV*INV: I don't know what a hippo's nose looks like .
    MOTBecky'll tell you if it's right .
    MOToh .

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_I3.65
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky17a.chaBecky 2;5.291,916773.65

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. know7 · 100.0%