PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

7.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (198 utterances, 662 words searched).

  1. Sarah . GLO · eng_USA_Brown/sarah016.cha, line 80 · Sarah 2;06
  2. what are you doing # Sarah ? GLO · eng_USA_Brown/sarah016.cha, line 565 · Sarah 2;06
  3. Sarah # <can you> [/] can you give Pick [//] Tickles a ride ? COU · eng_USA_Brown/sarah016.cha, line 772 · Sarah 2;06
  4. Sarah # whose girl are you ? MOT · eng_USA_Brown/sarah016.cha, line 821 · Sarah 2;06
  5. I know your name is Sarah Barnes . MOT · eng_USA_Brown/sarah016.cha, line 829 · Sarah 2;06
  1. GLOcan you catch ?
    CHI0 .
    GLO*GLO: Sarah .
    CHIyyy ?
    GLOwhat's that ?
  2. CHIyyy .
    CHIoh .
    GLO*GLO: what are you doing # Sarah ?
    GLOcan you dial the telephone ?
    CHI<where phone> [?] ?
  3. CHIxxx ride .
    CHIxxx .
    COU*COU: Sarah # <can you> [/] can you give Pick [//] Tickles a ride ?
    COUin the truck ?
    CHIum .
  4. CHI0 .
    MOTyou having troubles ?
    MOT*MOT: Sarah # whose girl are you ?
    CHIxxx .
    MOTI know your name is Sarah Barnes .
  5. MOTSarah # whose girl are you ?
    CHIxxx .
    MOT*MOT: I know your name is Sarah Barnes .
    MOTwhose girl are you ?
    MOThmm ?

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_Brown7.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah016.chaSarah 2;6.04662557.55

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. sarah5 · 100.0%