PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.26 per 1,000 words of the child (CHI), in 1 of 1 transcripts (394 utterances, 921 words searched).

  1. next to cars . CHI · eng_british_Manchester_I/anne26a.cha, line 948 · Anne 2;07
  2. I went xxx next to my Mum . CHI · eng_british_Manchester_I/anne26a.cha, line 1442 · Anne 2;07
  3. next to my Dad . CHI · eng_british_Manchester_I/anne26a.cha, line 1444 · Anne 2;07
  1. eng_british_Manchester_I/anne26a.cha, line 948 · Anne, 2;7.01
    MOTwhere are we going to put these animals then , Anne ?
    MOTwhoops .
    CHI*CHI: next to cars .
    MOTnext to the cars in the car+park ?
    MOTwell .
  2. eng_british_Manchester_I/anne26a.cha, line 1442 · Anne, 2;7.01
    MOTwhee .
    CHIhello .
    CHI*CHI: I went xxx next to my Mum .
    CHInext to my Dad .
    MOTdid you ?
  3. eng_british_Manchester_I/anne26a.cha, line 1444 · Anne, 2;7.01
    CHIhello .
    CHII went xxx next to my Mum .
    CHI*CHI: next to my Dad .
    MOTdid you ?
    MOTand did you like it ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_I3.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne26a.chaAnne 2;7.01921333.26

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. next3 · 100.0%