PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (722 utterances, 2,740 words searched).

  1. you don't need any more drinks now . MOT · eng_british_Manchester_I/anne27b.cha, line 390 · Anne 2;07
  2. do you need a wee ? MOT · eng_british_Manchester_I/anne27b.cha, line 460 · Anne 2;07
  3. do you need a wee+wee ? MOT · eng_british_Manchester_I/anne27b.cha, line 464 · Anne 2;07
  4. we need to put that one back in the box then ,, don't we ? MOT · eng_british_Manchester_I/anne27b.cha, line 1695 · Anne 2;07
  5. do you think we'll need to find you a pink ribbon ? MOT · eng_british_Manchester_I/anne27b.cha, line 1773 · Anne 2;07
  6. where does that need to go ? MOT · eng_british_Manchester_I/anne27b.cha, line 2026 · Anne 2;07
  7. do they need +//. MOT · eng_british_Manchester_I/anne27b.cha, line 2062 · Anne 2;07
  1. CHIother one .
    MOTno .
    MOT*MOT: you don't need any more drinks now .
    MOToh .
    CHIcan you put that in a safe place ?
  2. MOT++ pass the +...
    CHIwant you to put it +/.
    MOT*MOT: do you need a wee ?
    CHIwant you put it on .
    MOTdo you need a wee+wee ?
  3. MOTdo you need a wee ?
    CHIwant you put it on .
    MOT*MOT: do you need a wee+wee ?
    CHIyeah .
    MOTcome on then .
  4. MOTRosie and Jim ?
    MOTokay .
    MOT*MOT: we need to put that one back in the box then ,, don't we ?
    CHIthat go there ?
    MOTno .
  5. MOTlike this in a ribbon ?
    CHIyeah .
    MOT*MOT: do you think we'll need to find you a pink ribbon ?
    CHIyeah .
    MOTwhat for ?
  6. MOTwhy not ?
    CHIplay +...
    MOT*MOT: where does that need to go ?
    CHIthere .
    MOTgo on then .
  7. MOTit's not too bad ,, is it ?
    MOTwhat about the covers ?
    MOT*MOT: do they need +//.
    MOTor that horse needs to go back in Caroline's Duplo box .
    INVmmhm .

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. Anne eng_british_Manchester_I2.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne27b.chaAnne 2;7.132,740772.55

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%