PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,799 words searched).

  1. has he got changed then ? MOT · eng_british_Manchester_I/anne30a.cha, line 1451 · Anne 2;07
  2. has she [//] can she get down now then ? MOT · eng_british_Manchester_I/anne30a.cha, line 1606 · Anne 2;07
  3. has she just had a wee ,, has she ? MOT · eng_british_Manchester_I/anne30a.cha, line 1649 · Anne 2;07
  4. has she just had a wee ,, has she ? MOT · eng_british_Manchester_I/anne30a.cha, line 1649 · Anne 2;07
  5. has she ? MOT · eng_british_Manchester_I/anne30a.cha, line 1673 · Anne 2;07
  6. has she ? MOT · eng_british_Manchester_I/anne30a.cha, line 1696 · Anne 2;07
  7. has she ? MOT · eng_british_Manchester_I/anne30a.cha, line 1786 · Anne 2;07
  1. CHIand he's got [//] hasn't got his work things on .
    MOTokay .
    MOT*MOT: has he got changed then ?
    CHIyeah .
    MOTokay .
  2. CHIand you can play with her .
    MOTyes .
    MOT*MOT: has she [//] can she get down now then ?
    CHIyeah .
    MOToh good .
  3. CHIno .
    MOTshe's not ?
    MOT*MOT: has she just had a wee ,, has she ?
    CHIxxx .
    CHIyes .
  4. CHIa bit naughty do it in your pants .
    CHIdo in her pants .
    MOT*MOT: has she ?
    MOTbabys don't know any better ,, do they ?
    CHIno .
  5. CHIoh .
    CHIshe 0have [*] done a wee .
    MOT*MOT: has she ?
    CHIand a poo .
    MOTright .
  6. MOToh .
    MOTnot another one .
    MOT*MOT: has she ?
    MOTwhat ?
    MOTbefore we've got this nappy on ?

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_I3.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne30a.chaAnne 2;7.291,799673.89

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. has7 · 100.0%