PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

7.14 per 1,000 words of the child (CHI), in 1 of 1 transcripts (361 utterances, 420 words searched).

  1. Nicole have . CHI · eng_british_Manchester_II/nic09b.cha, line 950 · Nicole 2;03
  2. Nicole have . CHI · eng_british_Manchester_II/nic09b.cha, line 952 · Nicole 2;03
  3. Nicole have that . CHI · eng_british_Manchester_II/nic09b.cha, line 1746 · Nicole 2;03
  1. eng_british_Manchester_II/nic09b.cha, line 950 · Nicole, 2;3.17
    CHIparty .
    MOTxxx .
    CHI*CHI: Nicole have .
    CHINicole have .
    MOT<do you> [//] <shall we> [//] you put the egg box out , look .
  2. eng_british_Manchester_II/nic09b.cha, line 952 · Nicole, 2;3.17
    MOTxxx .
    CHINicole have .
    CHI*CHI: Nicole have .
    MOT<do you> [//] <shall we> [//] you put the egg box out , look .
    MOTand then we can put the eggs in the egg box , can't we ?
  3. eng_british_Manchester_II/nic09b.cha, line 1746 · Nicole, 2;3.17
    INVwww .
    CHIxxx .
    CHI*CHI: Nicole have that .
    CHIcarry that .
    INVpardon ?

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. Nicole eng_british_Manchester_II7.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic09b.chaNicole 2;3.17420337.14

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. have3 · 100.0%