PHPCLANCHILDES with regular expressions

8 matches in 6 utterances

1.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (897 utterances, 4,102 words searched).

  1. and they had a big long what ? MOT · eng_USA_Brown/sarah030.cha, line 69 · Sarah 2;09
  2. <Johnny # had> [<] had the +/. MOT · eng_USA_Brown/sarah030.cha, line 254 · Sarah 2;09
  3. <Johnny # had> [<] had the +/. MOT · eng_USA_Brown/sarah030.cha, line 254 · Sarah 2;09
  4. had . MOT · eng_USA_Brown/sarah030.cha, line 270 · Sarah 2;09
  5. yes # you had two stitches . MOT · eng_USA_Brown/sarah030.cha, line 617 · Sarah 2;09
  6. I had nice chicken # you had roast beef . MOT · eng_USA_Brown/sarah030.cha, line 770 · Sarah 2;09
  7. I had nice chicken # you had roast beef . MOT · eng_USA_Brown/sarah030.cha, line 770 · Sarah 2;09
  8. oh # you had macaroni ! MOT · eng_USA_Brown/sarah030.cha, line 805 · Sarah 2;09
  1. eng_USA_Brown/sarah030.cha, line 69 · Sarah, 2;9.20
    MOTelephants # yeah you saw the elephants .
    CHIyeah !
    MOT*MOT: and they had a big long what ?
    CHInose .
    MOTbig long nose ?
  2. eng_USA_Brown/sarah030.cha, line 254 · Sarah, 2;9.20
    MOTJohnny .
    CHIJohnny [?] .
    MOT*MOT: <Johnny # had> [<] had the +/.
    CHIthe .
    MOTwhooping .
  3. eng_USA_Brown/sarah030.cha, line 270 · Sarah, 2;9.20
    MOTand Mary .
    CHIMary .
    MOT*MOT: had .
    CHIhad .
    CHImeasles .
  4. eng_USA_Brown/sarah030.cha, line 617 · Sarah, 2;9.20
    MOThow many stitches did you have ?
    CHItwo .
    MOT*MOT: yes # you had two stitches .
    MOTwho gave you the stitches ?
    CHIdoctor .
  5. eng_USA_Brown/sarah030.cha, line 770 · Sarah, 2;9.20
    MOTyou didn't want any ?
    CHIno .
    MOT*MOT: I had nice chicken # you had roast beef .
    CHIno .
    MOTyou were going to have roast beef .
  6. eng_USA_Brown/sarah030.cha, line 805 · Sarah, 2;9.20
    MOTwhat did you have ?
    CHImacaroni .
    MOT*MOT: oh # you had macaroni !
    MOTyou won't starve # uhhuh !
    CHIno .

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. Sarah eng_USA_Brown1.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah030.chaSarah 2;9.204,102681.95

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. had8 · 100.0%