PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

5.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (338 utterances, 1,699 words searched).

  1. Sarah # you want a drink of milk ? MOT · eng_USA_Brown/sarah100.cha, line 351 · Sarah 4;03
  2. you want a drink of milk ? MOT · eng_USA_Brown/sarah100.cha, line 355 · Sarah 4;03
  3. you don't use milk # do you ? MOT · eng_USA_Brown/sarah100.cha, line 360 · Sarah 4;03
  4. everyone I've ever known from California never uses milk . MOT · eng_USA_Brown/sarah100.cha, line 388 · Sarah 4;03
  5. she learned not to drink it with milk ? MEL · eng_USA_Brown/sarah100.cha, line 398 · Sarah 4;03
  6. mm # coffee now # no milk . MOT · eng_USA_Brown/sarah100.cha, line 400 · Sarah 4;03
  7. in fact my girl+friend always drank milk . MOT · eng_USA_Brown/sarah100.cha, line 402 · Sarah 4;03
  8. she went out to California and she doesn't drink milk . MOT · eng_USA_Brown/sarah100.cha, line 407 · Sarah 4;03
  9. …verybody I know that went out there # they come back they don't drink milk . MOT · eng_USA_Brown/sarah100.cha, line 410 · Sarah 4;03
  1. eng_USA_Brown/sarah100.cha, line 351 · Sarah, 4;3.13
    CHIyeah .
    CHIthis how you push it down .
    MOT*MOT: Sarah # you want a drink of milk ?
    MOTSarah # Sarah .
    MOTyou want a drink of milk ?
  2. eng_USA_Brown/sarah100.cha, line 355 · Sarah, 4;3.13
    MOTSarah # you want a drink of milk ?
    MOTSarah # Sarah .
    MOT*MOT: you want a drink of milk ?
    CHIno .
    MOTyou don't use milk # do you ?
  3. eng_USA_Brown/sarah100.cha, line 360 · Sarah, 4;3.13
    MOTyou want a drink of milk ?
    CHIno .
    MOT*MOT: you don't use milk # do you ?
    MELno .
    MOTdo you want anything ?
  4. eng_USA_Brown/sarah100.cha, line 388 · Sarah, 4;3.13
    CHIdo you use # uh .
    MELwhy ?
    MOT*MOT: everyone I've ever known from California never uses milk .
    MELoh # that's interesting .
    MOTeven my cousin .
  5. eng_USA_Brown/sarah100.cha, line 398 · Sarah, 4;3.13
    MOTeven my cousin .
    MOTshe moved out to California right after she got married .
    MEL*MEL: she learned not to drink it with milk ?
    MOTmm # coffee now # no milk .
    MOTin fact my girl+friend always drank milk .
  6. eng_USA_Brown/sarah100.cha, line 400 · Sarah, 4;3.13
    MOTshe moved out to California right after she got married .
    MELshe learned not to drink it with milk ?
    MOT*MOT: mm # coffee now # no milk .
    MOTin fact my girl+friend always drank milk .
    MELSarah .
  7. eng_USA_Brown/sarah100.cha, line 402 · Sarah, 4;3.13
    MELshe learned not to drink it with milk ?
    MOTmm # coffee now # no milk .
    MOT*MOT: in fact my girl+friend always drank milk .
    MELSarah .
    MOTshe went out to California and she doesn't drink milk .
  8. eng_USA_Brown/sarah100.cha, line 407 · Sarah, 4;3.13
    MOTin fact my girl+friend always drank milk .
    MELSarah .
    MOT*MOT: she went out to California and she doesn't drink milk .
    MOTeverybody I know that went out there # they come back they don't drink milk .
    CHIhey # you not learn how to do this # yet ?
  9. eng_USA_Brown/sarah100.cha, line 410 · Sarah, 4;3.13
    MELSarah .
    MOTshe went out to California and she doesn't drink milk .
    MOT*MOT: everybody I know that went out there # they come back they don't drink milk .
    CHIhey # you not learn how to do this # yet ?
    GAIwhat ?

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_Brown5.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah100.chaSarah 4;3.131,699995.30

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. milk9 · 100.0%