PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,236 words searched).

  1. I got your nose . MOT · eng_USA_Brown/sarah020.cha, line 734 · Sarah 2;07
  2. oh # I've got your nose . MOT · eng_USA_Brown/sarah020.cha, line 736 · Sarah 2;07
  3. I'll put your nose back . MOT · eng_USA_Brown/sarah020.cha, line 748 · Sarah 2;07
  4. and how many nose ? MOT · eng_USA_Brown/sarah020.cha, line 934 · Sarah 2;07
  5. yeah # has Tony got a nose ? JOA · eng_USA_Brown/sarah020.cha, line 1056 · Sarah 2;07
  1. MOTwant me to pull your ears like this ?
    MOTI see you .
    MOT*MOT: I got your nose .
    MOToh # I've got your nose .
    CHII pull pull you .
  2. MOTI see you .
    MOTI got your nose .
    MOT*MOT: oh # I've got your nose .
    CHII pull pull you .
    MOTno .
  3. CHII pull .
    MOTwant me to put it back ?
    MOT*MOT: I'll put your nose back .
    MOTalright ?
    CHIalright .
  4. CHItwo .
    MOTtwo eyes .
    MOT*MOT: and how many nose ?
    CHIone nose .
    MOTand how many teeth ?
  5. JOAtwo eyes .
    CHItwo eyes .
    JOA*JOA: yeah # has Tony got a nose ?
    CHIxxx nose .
    CHIxxx two nose .

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_Brown4.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah020.chaSarah 2;7.051,236554.05

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. nose5 · 100.0%