PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (513 utterances, 2,061 words searched).

  1. he has to get it proper . MOT · eng_USA_Brown/adam07.cha, line 1036 · Adam 2;06
  2. Adam has a nose . MOT · eng_USA_Brown/adam07.cha, line 2922 · Adam 2;06
  3. he has a nose # too . MOT · eng_USA_Brown/adam07.cha, line 3114 · Adam 2;06
  4. horsie has a nose too . MOT · eng_USA_Brown/adam07.cha, line 3122 · Adam 2;06
  5. pig has a ribbon on ? MOT · eng_USA_Brown/adam07.cha, line 3126 · Adam 2;06
  1. CHIget it proper [?] .
    MOTproper .
    MOT*MOT: he has to get it proper .
    CHItoper@c [?] I drop it .
    MOTyou dropped it ?
  2. CHIeyebrow .
    CHIAdam eyebrow nose .
    MOT*MOT: Adam has a nose .
    CHIeye eye .
    MOTeye .
  3. MOTpretty ?
    CHIpretty # yeah .
    MOT*MOT: he has a nose # too .
    CHIn(ose) [?] twos [=? too@n-s] .
    CHIwhat dat # Mommy .
  4. CHIwhat dat # Mommy .
    CHIhorsie no(se) twos [=? too@n-s] .
    MOT*MOT: horsie has a nose too .
    CHIpig have ribbon on .
    MOTpig has a ribbon on ?
  5. MOThorsie has a nose too .
    CHIpig have ribbon on .
    MOT*MOT: pig has a ribbon on ?
    CHIwhat looking for .
    MOTwhat are you looking for ?

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. Adam eng_USA_Brown2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam07.chaAdam 2;6.032,061552.43

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. has5 · 100.0%