PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

7.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,004 words searched).

  1. who else besides Courtney and Kent ? MOT · eng_USA_Brown/sarah064.cha, line 34 · Sarah 3;06
  2. why don't cha give me the gum and then sing it . MOT · eng_USA_Brown/sarah064.cha, line 119 · Sarah 3;06
  3. and z@l +... MOT · eng_USA_Brown/sarah064.cha, line 929 · Sarah 3;06
  4. can I go now and go to bed . MOT · eng_USA_Brown/sarah064.cha, line 1037 · Sarah 3;06
  5. roast beef and what ? MOT · eng_USA_Brown/sarah064.cha, line 1070 · Sarah 3;06
  6. well # put them all down and give them +... MOT · eng_USA_Brown/sarah064.cha, line 1217 · Sarah 3;06
  7. so it's you and me and Kent . MOT · eng_USA_Brown/sarah064.cha, line 1285 · Sarah 3;06
  8. so it's you and me and Kent . MOT · eng_USA_Brown/sarah064.cha, line 1285 · Sarah 3;06
  1. CHI(a)n(d) Kent .
    MOTno .
    MOT*MOT: who else besides Courtney and Kent ?
    MOTwho was here this mornin(g) ?
    CHIGloria .
  2. CHIgreen grass grow all around (a)n(d) around .
    MOTya can't sing with gum in your mouth anyway .
    MOT*MOT: why don't cha give me the gum and then sing it .
    CHIno .
    MOTI'll give it back to you .
  3. CHIlike yours .
    MOTmmhm [?] .
    MOT*MOT: and z@l +...
    CHIz@l for the beaver .
    MOTzebra .
  4. CHIyep .
    MOTcan I go now ?
    MOT*MOT: can I go now and go to bed .
    CHIuh # yeah .
    MOTyeah .
  5. MOTyou do ?
    MOTwhat else ya goin(g) to have besides roast beef ?
    MOT*MOT: roast beef and what ?
    CHIroast beef # (a)n(d) alten@c .
    MOTa what ?
  6. CHIalright .
    MOTgive me the blue one .
    MOT*MOT: well # put them all down and give them +...
    MOT# yeah .
    MOTnow # give me the blue one .
  7. CHItwo .
    MOThow about that ?
    MOT*MOT: so it's you and me and Kent .
    MOTnow # let's see .
    MOT(a)n(d) I go first .

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_Brown7.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah064.chaSarah 3;6.061,004787.97

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.

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