PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (323 utterances, 1,363 words searched).

  1. but that's close enough . MEL · eng_USA_Brown/sarah109.cha, line 250 · Sarah 4;05
  2. but I didn't hear from Kent . MOT · eng_USA_Brown/sarah109.cha, line 553 · Sarah 4;05
  3. he's frisky yeah # but what's his name ? MOT · eng_USA_Brown/sarah109.cha, line 768 · Sarah 4;05
  4. you can put it in if you want but you just might not get it out . MOT · eng_USA_Brown/sarah109.cha, line 1104 · Sarah 4;05
  5. <but &wh> [//] <the other> [//] that nail polish was real . MOT · eng_USA_Brown/sarah109.cha, line 1203 · Sarah 4;05
  6. yeah # but then when I go to wash it off # it'll get the bandaid all wet . MEL · eng_USA_Brown/sarah109.cha, line 1309 · Sarah 4;05
  1. MELmm # it's almost right .
    MELit goes the other way .
    MEL*MEL: but that's close enough .
    MELi@l .
    CHIi@l ?
  2. GAIah .
    CHI<he's a> [//] open it .
    MOT*MOT: but I didn't hear from Kent .
    MELdidn't you ?
    MELI haven't heard any [//] a word from him either so I don't know how how he's doing .
  3. MOTwhat's his name ?
    CHIhe's frisky but uh +...
    MOT*MOT: he's frisky yeah # but what's his name ?
    MOTwhat does Uncle_Tony call him ?
    CHIlion ?
  4. MOTuhuh uh(uh) .
    MOTSarah # don't play with that .
    MOT*MOT: you can put it in if you want but you just might not get it out .
    CHIsomething will come out this ?
    MELhmm ?
  5. MELdoes it wash off ?
    MELok .
    MOT*MOT: <but &wh> [//] <the other> [//] that nail polish was real .
    GAImmhm .
    MOTshe had it all over the place .
  6. MELwe'll leave that one .
    CHIwell # you can do the other side of it .
    MEL*MEL: yeah # but then when I go to wash it off # it'll get the bandaid all wet .
    MELright ?
    CHIalright .

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_Brown4.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah109.chaSarah 4;5.141,363664.40

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. but6 · 100.0%