PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. what's Ann_Marie's telephone number ? MOT · eng_USA_Brown/sarah122.cha, line 966 · Sarah 4;08
  2. what's Ann_Marie's telephone number ? MOT · eng_USA_Brown/sarah122.cha, line 976 · Sarah 4;08
  3. she don't know her own phone number but she knows Ann_Marie's . MOT · eng_USA_Brown/sarah122.cha, line 997 · Sarah 4;08
  4. what's our phone number ? MOT · eng_USA_Brown/sarah122.cha, line 1002 · Sarah 4;08
  5. what's Nana's phone number ? MOT · eng_USA_Brown/sarah122.cha, line 1008 · Sarah 4;08
  6. what's her telephone number ? MOT · eng_USA_Brown/sarah122.cha, line 1020 · Sarah 4;08
  1. CHII'm just gonna call Ann_Marie up # (a)n(d) she won't know what my number # huh ?
    CHIbut it's goin(g) make three four five six .
    MOT*MOT: what's Ann_Marie's telephone number ?
    CHIsix ?
    MOTno # say it right .
  2. MOTsee if you can remember .
    MOTtell me .
    MOT*MOT: what's Ann_Marie's telephone number ?
    CHII can't remember .
    MOTyou dial it alright .
  3. MELthat's very good .
    MOTshe can dial it # too .
    MOT*MOT: she don't know her own phone number but she knows Ann_Marie's .
    GAIshe doesn't have to call herself .
    MOTwhat's our phone number ?
  4. MOTshe don't know her own phone number but she knows Ann_Marie's .
    GAIshe doesn't have to call herself .
    MOT*MOT: what's our phone number ?
    CHItwo # four # three .
    MOTno .
  5. CHItwo # four # three .
    MOTno .
    MOT*MOT: what's Nana's phone number ?
    CHIwhich one ?
    MOTNana across the street .
  6. MOTyeah # Nana_Gee's .
    MOTwhat's her name ?
    MOT*MOT: what's her telephone number ?
    CHIdo I know ?
    MOTyeah # you know .

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_Brown3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717663.49

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. number6 · 100.0%