PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

19.23 per 1,000 words of the child (CHI), in 1 of 1 transcripts (296 utterances, 364 words searched).

  1. there . CHI · eng_british_Manchester_II/nic12b.cha, line 75 · Nicole 2;04
  2. there . CHI · eng_british_Manchester_II/nic12b.cha, line 357 · Nicole 2;04
  3. there . CHI · eng_british_Manchester_II/nic12b.cha, line 361 · Nicole 2;04
  4. there you go . CHI · eng_british_Manchester_II/nic12b.cha, line 838 · Nicole 2;04
  5. there . CHI · eng_british_Manchester_II/nic12b.cha, line 1083 · Nicole 2;04
  6. want sit down there . CHI · eng_british_Manchester_II/nic12b.cha, line 1436 · Nicole 2;04
  7. carry me there . CHI · eng_british_Manchester_II/nic12b.cha, line 1767 · Nicole 2;04
  1. eng_british_Manchester_II/nic12b.cha, line 75 · Nicole, 2;4.21
    CHIxxx .
    MOTthe ones that you've just chucked off .
    CHI*CHI: there .
    MOTare you going to put those away before you open the Duplo otherwise they're going to get lost , aren't they ?
    MOThmm ?
  2. eng_british_Manchester_II/nic12b.cha, line 357 · Nicole, 2;4.21
    CHIbridge .
    MOTwrong way .
    CHI*CHI: there .
    MOTuhhum .
    CHIthere .
  3. eng_british_Manchester_II/nic12b.cha, line 361 · Nicole, 2;4.21
    CHIthere .
    MOTuhhum .
    CHI*CHI: there .
    CHIxxx .
    MOTcheeky monkey ?
  4. eng_british_Manchester_II/nic12b.cha, line 838 · Nicole, 2;4.21
    MOTwhat are you going to do ?
    MOTwhat are you doing ?
    CHI*CHI: there you go .
    INVthank you .
    INVare you wiping up the mess ?
  5. eng_british_Manchester_II/nic12b.cha, line 1083 · Nicole, 2;4.21
    MOTno .
    MOTthe bin's still upstairs .
    CHI*CHI: there .
    CHIthat .
    MOToh alright then .
  6. eng_british_Manchester_II/nic12b.cha, line 1436 · Nicole, 2;4.21
    CHImmhm .
    MOThmm ?
    CHI*CHI: want sit down there .
    CHIxxx .
    CHIxxx .
  7. eng_british_Manchester_II/nic12b.cha, line 1767 · Nicole, 2;4.21
    MOToh .
    MOTyou are .
    CHI*CHI: carry me there .
    MOTI'm carrying you .
    MOTI've got you .

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_II19.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic12b.chaNicole 2;4.213647719.23

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. there7 · 100.0%