PHPCLANCHILDES with regular expressions

8 matches in 5 utterances

2.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (718 utterances, 3,128 words searched).

  1. we're out of people. MOT · downs-flusberg/jerry05.cha, line 835
  2. we're out of people. MOT · downs-flusberg/jerry05.cha, line 842
  3. we're making a movie about what we're doing here. MOT · downs-flusberg/jerry05.cha, line 888
  4. we're making a movie about what we're doing here. MOT · downs-flusberg/jerry05.cha, line 888
  5. we're talking and we're making things with these pictures. MOT · downs-flusberg/jerry05.cha, line 890
  6. we're talking and we're making things with these pictures. MOT · downs-flusberg/jerry05.cha, line 890
  7. we're talking and we're making things with these pictures that helen gave y… MOT · downs-flusberg/jerry05.cha, line 892
  8. we're talking and we're making things with these pictures that helen gave you. MOT · downs-flusberg/jerry05.cha, line 892
  1. CHI<four calling birds, three french hens, two turtle doves> [/?].
    MOTthat's it.
    MOT*MOT: we're out of people.
    MOThere put him in.
    CHI<on the twelve day of christmas> [/?] +/.
  2. MOTwait a minute.
    CHI<twelve drummers drumming> [/?].
    MOT*MOT: we're out of people.
    MOTput him in.
    CHIalright.
  3. MOTwhat are we making a movie about?
    CHIright.
    MOT*MOT: we're making a movie about what we're doing here.
    CHIno, why we doing [$0ux]?
    MOTwe're talking and we're making things with these pictures.
  4. MOTwe're making a movie about what we're doing here.
    CHIno, why we doing [$0ux]?
    MOT*MOT: we're talking and we're making things with these pictures.
    CHIsay it again.
    MOTwe're talking and we're making things with these pictures that helen gave you.
  5. MOTwe're talking and we're making things with these pictures.
    CHIsay it again.
    MOT*MOT: we're talking and we're making things with these pictures that helen gave you.
    CHIwhy?
    MOTfirst, we <were> [/?] talking about a party.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jerry downs-flusberg2.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/jerry05.chaJerry 3,128582.56

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. we're8 · 100.0%