PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 1,170 words searched).

  1. up down # two dots # connect # connect # connect . GAI · eng_USA_Brown/sarah108.cha, line 174 · Sarah 4;05
  2. oh the two of them ! MOT · eng_USA_Brown/sarah108.cha, line 739 · Sarah 4;05
  3. she got two o(f) them . MOT · eng_USA_Brown/sarah108.cha, line 801 · Sarah 4;05
  4. my two cousins # they +... MOT · eng_USA_Brown/sarah108.cha, line 805 · Sarah 4;05
  5. but the two girls bought uh # their nieces this dress . MOT · eng_USA_Brown/sarah108.cha, line 809 · Sarah 4;05
  1. eng_USA_Brown/sarah108.cha, line 174 · Sarah, 4;5.08
    GAIlike this ?
    CHIa star .
    GAI*GAI: up down # two dots # connect # connect # connect .
    CHIoh .
    CHInow how you make it ?
  2. eng_USA_Brown/sarah108.cha, line 739 · Sarah, 4;5.08
    CHIwhy ?
    MOTNana said <you were> [//] # you locked Grampy out of the car (a)n(d) Grampy started to start the car and you shut the key off .
    MOT*MOT: oh the two of them !
    MOTone aggravates the other # y(ou) know .
    MOTshe does it just to get him goin(g) (be)cause he [//] # she knows she can get him mad .
  3. eng_USA_Brown/sarah108.cha, line 801 · Sarah, 4;5.08
    MOTa dress just like this .
    MOTRobin gave you this dress .
    MOT*MOT: she got two o(f) them .
    CHII did too # huh ?
    MOTmy two cousins # they +...
  4. eng_USA_Brown/sarah108.cha, line 805 · Sarah, 4;5.08
    MOTshe got two o(f) them .
    CHII did too # huh ?
    MOT*MOT: my two cousins # they +...
    MOTwell there's four o(f) them .
    MOTbut the two girls bought uh # their nieces this dress .
  5. eng_USA_Brown/sarah108.cha, line 809 · Sarah, 4;5.08
    MOTmy two cousins # they +...
    MOTwell there's four o(f) them .
    MOT*MOT: but the two girls bought uh # their nieces this dress .
    MOTy(ou) know (a)n(d) neither one of them were with them # with each other when they bought it .
    MOTand they both bought Robin the exact same dress .

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_Brown4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah108.chaSarah 4;5.081,170554.27

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. two5 · 100.0%