PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.84 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (588 utterances, 2,109 words searched).

  1. shall we build the zoo ? MOT · eng_british_Manchester_II/nic01b.cha, line 157 · Nicole 2;00
  2. we're going to go the zoo , aren't we soon ? MOT · eng_british_Manchester_II/nic01b.cha, line 159 · Nicole 2;00
  3. the zoo ? INV · eng_british_Manchester_II/nic01b.cha, line 168 · Nicole 2;00
  4. are you going to xxx [//] go to the zoo ? INV · eng_british_Manchester_II/nic01b.cha, line 170 · Nicole 2;00
  5. is Mummy going to the zoo with you ? MOT · eng_british_Manchester_II/nic01b.cha, line 196 · Nicole 2;00
  6. will we see lots of animals at the zoo ? MOT · eng_british_Manchester_II/nic01b.cha, line 207 · Nicole 2;00
  1. eng_british_Manchester_II/nic01b.cha, line 157 · Nicole, 2;0.25
    MOToh dear .
    CHIhippo .
    MOT*MOT: shall we build the zoo ?
    MOTwe're going to go the zoo , aren't we soon ?
    INVoh: .
  2. eng_british_Manchester_II/nic01b.cha, line 159 · Nicole, 2;0.25
    CHIhippo .
    MOTshall we build the zoo ?
    MOT*MOT: we're going to go the zoo , aren't we soon ?
    INVoh: .
    MOTmmhm .
  3. eng_british_Manchester_II/nic01b.cha, line 168 · Nicole, 2;0.25
    MOTmmhm .
    CHIthe zoo .
    INV*INV: the zoo ?
    INVare you going to xxx [//] go to the zoo ?
    CHIum +...
  4. eng_british_Manchester_II/nic01b.cha, line 170 · Nicole, 2;0.25
    CHIthe zoo .
    INVthe zoo ?
    INV*INV: are you going to xxx [//] go to the zoo ?
    CHIum +...
    CHI+, yeah .
  5. eng_british_Manchester_II/nic01b.cha, line 196 · Nicole, 2;0.25
    INVand what about Mummy ?
    CHIxxx .
    MOT*MOT: is Mummy going to the zoo with you ?
    CHIyeah .
    CHIxxx .
  6. eng_british_Manchester_II/nic01b.cha, line 207 · Nicole, 2;0.25
    MOTno .
    CHIxxx .
    MOT*MOT: will we see lots of animals at the zoo ?
    MOTwill we ?
    CHIyeah .

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. Nicole eng_british_Manchester_II2.84
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic01b.chaNicole 2;0.252,109662.84

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. zoo6 · 100.0%