PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (485 utterances, 1,715 words searched).

  1. don't think she wants it round her foot ,, does she ? MOT · eng_british_Manchester_I/anne21b.cha, line 769 · Anne 2;05
  2. does she want some of this nice food for her dinner ? MOT · eng_british_Manchester_I/anne21b.cha, line 831 · Anne 2;05
  3. does she want a beaker ? MOT · eng_british_Manchester_I/anne21b.cha, line 1352 · Anne 2;05
  4. after she's had some milk you have to pat her on the back until she does a big burp . MOT · eng_british_Manchester_I/anne21b.cha, line 1579 · Anne 2;05
  5. does she want a hat on as well just to be sure ? MOT · eng_british_Manchester_I/anne21b.cha, line 1709 · Anne 2;05
  1. eng_british_Manchester_I/anne21b.cha, line 769 · Anne, 2;5.02
    CHIput your bib on .
    CHIput your bib on .
    MOT*MOT: don't think she wants it round her foot ,, does she ?
    CHIxxx .
    CHIround your back .
  2. eng_british_Manchester_I/anne21b.cha, line 831 · Anne, 2;5.02
    CHIsit in your highchair .
    MOTis that where her highchair is ?
    MOT*MOT: does she want some of this nice food for her dinner ?
    CHII put it round your back .
    MOTare you making sure she doesn't fall out ?
  3. eng_british_Manchester_I/anne21b.cha, line 1352 · Anne, 2;5.02
    MOTthey've got two now ,, haven't they ?
    MOToh .
    MOT*MOT: does she want a beaker ?
    CHIyeah .
    CHIoh .
  4. eng_british_Manchester_I/anne21b.cha, line 1579 · Anne, 2;5.02
    MOTyou have to do this , look .
    MOTwhat Caroline's telling you is you have to do this .
    MOT*MOT: after she's had some milk you have to pat her on the back until she does a big burp .
    MOTand that's called winding her .
    MOTwww .
  5. eng_british_Manchester_I/anne21b.cha, line 1709 · Anne, 2;5.02
    INVshould think she's gonna [: going to] overheat there .
    MOTshe's very very warm now , Anne .
    MOT*MOT: does she want a hat on as well just to be sure ?
    MOThmm ?
    MOTthere .

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. Anne eng_british_Manchester_I2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne21b.chaAnne 2;5.021,715552.92

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. does5 · 100.0%