PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.63 per 1,000 words of the child (CHI), in 1 of 1 transcripts (873 utterances, 2,203 words searched).

  1. have some ? CHI · eng_USA_Brown/adam07.cha, line 424 · Adam 2;06
  2. have some chocolate ? CHI · eng_USA_Brown/adam07.cha, line 426 · Adam 2;06
  3. yeah # have some . CHI · eng_USA_Brown/adam07.cha, line 430 · Adam 2;06
  4. have some drink it ? CHI · eng_USA_Brown/adam07.cha, line 443 · Adam 2;06
  5. I have three . CHI · eng_USA_Brown/adam07.cha, line 1954 · Adam 2;06
  6. I have three . CHI · eng_USA_Brown/adam07.cha, line 1956 · Adam 2;06
  7. I have three . CHI · eng_USA_Brown/adam07.cha, line 1958 · Adam 2;06
  8. pig have ribbon on . CHI · eng_USA_Brown/adam07.cha, line 3124 · Adam 2;06
  1. MOTchocolate ?
    CHIchocolate # yep .
    CHI*CHI: have some ?
    CHIhave some chocolate ?
    MOThave some chocolate ?
  2. CHIchocolate # yep .
    CHIhave some ?
    CHI*CHI: have some chocolate ?
    MOThave some chocolate ?
    CHIyeah # have some .
  3. CHIhave some chocolate ?
    MOThave some chocolate ?
    CHI*CHI: yeah # have some .
    CHIchocolate (i)n (th)ere .
    MOTchocolate in there ?
  4. CHIcrop it # chocolate .
    CHIdrink it ?
    CHI*CHI: have some drink it ?
    MOT+" have some drink it ?
    MOTxxx .
  5. CHIyeah .
    MOTyou have three .
    CHI*CHI: I have three .
    CHII have three .
    CHII have three .
  6. MOTyou have three .
    CHII have three .
    CHI*CHI: I have three .
    CHII have three .
    MOTtwo good ones .
  7. CHII have three .
    CHII have three .
    CHI*CHI: I have three .
    MOTtwo good ones .
    MOTwe'll leave that other one over there in the garage # alright ?
  8. CHIhorsie no(se) twos [=? too@n-s] .
    MOThorsie has a nose too .
    CHI*CHI: pig have ribbon on .
    MOTpig has a ribbon on ?
    CHIwhat looking for .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown3.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam07.chaAdam 2;6.032,203883.63

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. have8 · 100.0%