PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,524 words searched).

  1. that's nice . MOT · eng_british_Manchester_I/becky26a.cha, line 1303 · Becky 2;08
  2. very nice , Becky . MOT · eng_british_Manchester_I/becky26a.cha, line 1351 · Becky 2;08
  3. I was going to make some nice pie . MOT · eng_british_Manchester_I/becky26a.cha, line 1408 · Becky 2;08
  4. nice piece of pie for you . MOT · eng_british_Manchester_I/becky26a.cha, line 1429 · Becky 2;08
  1. CHIthey're plums with peas .
    MOTplums [/] plums with peas .
    MOT*MOT: that's nice .
    MOTis that your dinner then ?
    CHIyeah .
  2. CHIwhat did you do ?
    MOTnearly lost it .
    MOT*MOT: very nice , Becky .
    MOTthank you .
    CHIthat's alright .
  3. MOTdo you want peas and plums ?
    CHIyeah .
    MOT*MOT: I was going to make some nice pie .
    CHIyeah .
    MOTdo you want some pie ?
  4. MOTcan I use this to make some pie ?
    CHIyeah .
    MOT*MOT: nice piece of pie for you .
    CHIpeas .
    CHII like +//.

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. Becky eng_british_Manchester_I2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky26a.chaBecky 2;8.301,524442.62

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. nice4 · 100.0%