PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (624 utterances, 2,087 words searched).

  1. stop being silly . MOT · eng_british_Manchester_I/domin10a.cha, line 1309 · Dominic 2;01
  2. next minute you're being like this . MOT · eng_british_Manchester_I/domin10a.cha, line 1412 · Dominic 2;01
  3. you're not playing with it because you're being silly . MOT · eng_british_Manchester_I/domin10a.cha, line 1463 · Dominic 2;01
  4. you're being +//. MOT · eng_british_Manchester_I/domin10a.cha, line 1753 · Dominic 2;01
  5. you're being a right misery today . MOT · eng_british_Manchester_I/domin10a.cha, line 1770 · Dominic 2;01
  6. then you went back to being alright . MOT · eng_british_Manchester_I/domin10a.cha, line 1956 · Dominic 2;01
  7. now you're being silly again . MOT · eng_british_Manchester_I/domin10a.cha, line 1958 · Dominic 2;01
  1. MOTwhat's the matter ?
    MOThey .
    MOT*MOT: stop being silly .
    MOTwhat's the matter ?
    MOTDominic .
  2. MOTI don't mind when there's [//] I know something's wrong .
    MOTyou're alright one minute .
    MOT*MOT: next minute you're being like this .
    MOTwhat ?
    CHIwant drink .
  3. CHIno no .
    MOTwell .
    MOT*MOT: you're not playing with it because you're being silly .
    MOTso I might as well play with it .
    CHIno no .
  4. CHIxxx .
    CHInot toys .
    MOT*MOT: you're being +//.
    MOTwhat was that ?
    CHIxxx .
  5. CHIno .
    MOTmmhm .
    MOT*MOT: you're being a right misery today .
    MOTI don't know .
    MOTwhat's the matter , sweetheart ?
  6. MOTyou're not telling me much today , are you ?
    MOTyou were alright and then you went funny .
    MOT*MOT: then you went back to being alright .
    MOTnow you're being silly again .
    MOThey ?
  7. MOTyou were alright and then you went funny .
    MOTthen you went back to being alright .
    MOT*MOT: now you're being silly again .
    MOThey ?
    MOTwhat's the matter ?

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. Dominic eng_british_Manchester_I3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/domin10a.chaDominic 2;1.262,087773.35

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. being7 · 100.0%