PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. you've done very well at these . MOT · eng_british_Manchester_I/anne25a.cha, line 437 · Anne 2;06
  2. it's very similar that game is . MOT · eng_british_Manchester_I/anne25a.cha, line 444 · Anne 2;06
  3. that's a very good Daddy . MOT · eng_british_Manchester_I/anne25a.cha, line 1288 · Anne 2;06
  4. shall we do a very huge Annie_Apple as well ? MOT · eng_british_Manchester_I/anne25a.cha, line 1623 · Anne 2;06
  5. a very huge one . MOT · eng_british_Manchester_I/anne25a.cha, line 1628 · Anne 2;06
  6. very good . MOT · eng_british_Manchester_I/anne25a.cha, line 1668 · Anne 2;06
  7. a very tiny one . MOT · eng_british_Manchester_I/anne25a.cha, line 1730 · Anne 2;06
  8. where do you want the very tiny one ? MOT · eng_british_Manchester_I/anne25a.cha, line 1734 · Anne 2;06
  9. very good . MOT · eng_british_Manchester_I/anne25a.cha, line 1766 · Anne 2;06
  1. MOTalright then .
    MOTwell .
    MOT*MOT: you've done very well at these .
    CHIwant play that game .
    MOTwell .
  2. CHIwant play that game .
    MOTwell .
    MOT*MOT: it's very similar that game is .
    MOTit's a bit like this game .
    MOTare you sure ?
  3. MOTxxx .
    CHIthere .
    MOT*MOT: that's a very good Daddy .
    MOTisn't he good ?
    MOToh .
  4. MOTwe'll do doughing@n later .
    MOTI know what you're thinking of .
    MOT*MOT: shall we do a very huge Annie_Apple as well ?
    CHIyeah .
    MOTa very huge one .
  5. MOTshall we do a very huge Annie_Apple as well ?
    CHIyeah .
    MOT*MOT: a very huge one .
    CHImmhm .
    MOTis that huge enough for you ?
  6. MOToh .
    MOTlovely .
    MOT*MOT: very good .
    MOTnow do a cross bit .
    MOTthat's brilliant .
  7. MOTis it finished ?
    CHIlittle tiny .
    MOT*MOT: a very tiny one .
    MOTwhere do you want the very tiny one ?
    CHInext the big ones .
  8. CHIlittle tiny .
    MOTa very tiny one .
    MOT*MOT: where do you want the very tiny one ?
    CHInext the big ones .
    MOTnext to the big one ?
  9. CHIAnnie_Apple .
    MOTyeah .
    MOT*MOT: very good .
    CHIMunching_Mike .
    MOTis it a Munching_Mike ?

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_I3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,355993.82

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. very9 · 100.0%