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. so we need to put it down here . MOT · eng_british_Manchester_I/becky17a.cha, line 80 · Becky 2;05
  2. so you [/] you need to go in the bed+room . MOT · eng_british_Manchester_I/becky17a.cha, line 247 · Becky 2;05
  3. you need a puzzle . MOT · eng_british_Manchester_I/becky17a.cha, line 1033 · Becky 2;05
  4. you'll need that , willn't you to look at the picture . MOT · eng_british_Manchester_I/becky17a.cha, line 1064 · Becky 2;05
  5. <I need one> [<] . INV · eng_british_Manchester_I/becky17a.cha, line 1455 · Becky 2;05
  6. we [/] we don't need that . MOT · eng_british_Manchester_I/becky17a.cha, line 1501 · Becky 2;05
  7. you need a new card then , don't you ? MOT · eng_british_Manchester_I/becky17a.cha, line 1814 · Becky 2;05
  1. CHIno .
    MOTno .
    MOT*MOT: so we need to put it down here .
    MOToutside the house .
    MOTlike that .
  2. MOT<with a cloth> [<] .
    MOTand a lamp .
    MOT*MOT: so you [/] you need to go in the bed+room .
    MOTwhich is there .
    CHIxxx .
  3. MOTdo you want to play with that or do you want a puzzle now ?
    CHII need a puzzle .
    MOT*MOT: you need a puzzle .
    MOTdo you want to do your pirate puzzle ?
    CHICaroline's not seen it before .
  4. CHIthere you are .
    MOTthank you .
    MOT*MOT: you'll need that , willn't you to look at the picture .
    CHIxxx .
    MOTdo you want to do it on the table ?
  5. CHICaroline need [*] one .
    MOTCaroline needs to <play as well> [>] , does she ?
    INV*INV: <I need one> [<] .
    CHIMummy play .
    MOTyes .
  6. MOTno .
    MOTsee +//.
    MOT*MOT: we [/] we don't need that .
    MOTthat's the rules .
    MOTI know how to play .
  7. INVxxx .
    MOTgo on then .
    MOT*MOT: you need a new card then , don't you ?
    MOTthere you are .
    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. need7 · 100.0%