PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (475 utterances, 1,674 words searched).

  1. let's get that horrible nose . MOT · eng_british_Manchester_I/anne01b.cha, line 1064 · Anne 1;10
  2. does [/] does Jill's nose need wiping ? MOT · eng_british_Manchester_I/anne01b.cha, line 1085 · Anne 1;10
  3. whose nose are you wiping ? MOT · eng_british_Manchester_I/anne01b.cha, line 1182 · Anne 1;10
  4. she's got nose ,, has she ? MOT · eng_british_Manchester_I/anne01b.cha, line 1208 · Anne 1;10
  5. +" so he jumps <on the elephant> [//] on the giraffe's nose . MOT · eng_british_Manchester_I/anne01b.cha, line 1618 · Anne 1;10
  1. eng_british_Manchester_I/anne01b.cha, line 1064 · Anne, 1;10.07
    MOTcome here .
    MOToh oh oh .
    MOT*MOT: let's get that horrible nose .
    MOTthank you .
    MOTI've got it .
  2. eng_british_Manchester_I/anne01b.cha, line 1085 · Anne, 1;10.07
    MOTwww .
    MOTgo on .
    MOT*MOT: does [/] does Jill's nose need wiping ?
    CHIyes .
    CHIyes .
  3. eng_british_Manchester_I/anne01b.cha, line 1182 · Anne, 1;10.07
    CHItissue .
    CHItissue .
    MOT*MOT: whose nose are you wiping ?
    CHIbaby's .
    MOTand who is she ?
  4. eng_british_Manchester_I/anne01b.cha, line 1208 · Anne, 1;10.07
    CHInose .
    MOToh .
    MOT*MOT: she's got nose ,, has she ?
    CHIoh .
    CHInose .
  5. eng_british_Manchester_I/anne01b.cha, line 1618 · Anne, 1;10.07
    MOT+" and <he jumps on> [/] he jumps on the elephant's back .
    MOT+" pardon said the giraffe .
    MOT*MOT: +" so he jumps <on the elephant> [//] on the giraffe's nose .
    MOT+" he says what's it like up there .
    MOT+" and giraffe says very very nice but I'm going to sneeze .

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_I2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne01b.chaAnne 1;10.071,674552.99

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%