PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (434 utterances, 1,776 words searched).

  1. what was that ? MOT · eng_british_Manchester_II/joel14a.cha, line 733 · Joel 2;03
  2. not much of an effor(t) that one , was it ? MOT · eng_british_Manchester_II/joel14a.cha, line 853 · Joel 2;03
  3. if it was that way up . INV · eng_british_Manchester_II/joel14a.cha, line 863 · Joel 2;03
  4. because it was from the top . MOT · eng_british_Manchester_II/joel14a.cha, line 1000 · Joel 2;03
  5. a flag was that ? INV · eng_british_Manchester_II/joel14a.cha, line 1028 · Joel 2;03
  6. was it good though ? MOT · eng_british_Manchester_II/joel14a.cha, line 1066 · Joel 2;03
  1. eng_british_Manchester_II/joel14a.cha, line 733 · Joel, 2;3.11
    CHIhello .
    MOThello .
    MOT*MOT: what was that ?
    CHIbyebye .
    MOTbye .
  2. eng_british_Manchester_II/joel14a.cha, line 853 · Joel, 2;3.11
    INVcan't you do another drawing down here ?
    INVoh .
    MOT*MOT: not much of an effor(t) that one , was it ?
    INVoh looks like some mountains or something .
    MOTor something .
  3. eng_british_Manchester_II/joel14a.cha, line 863 · Joel, 2;3.11
    MOTor something .
    CHIthere .
    INV*INV: if it was that way up .
    INVthat could be a tree .
    INVoh dear .
  4. eng_british_Manchester_II/joel14a.cha, line 1000 · Joel, 2;3.11
    MOTwhat do I do with that ?
    MOTit's only going to be the top of his head , isn't it ?
    MOT*MOT: because it was from the top .
    MOTthen you'll have a bit of a nose sticking out .
    MOTsort of .
  5. eng_british_Manchester_II/joel14a.cha, line 1028 · Joel, 2;3.11
    MOTdraw on the paper .
    CHIum flag .
    INV*INV: a flag was that ?
    MOTwww .
    MOTthere you go then .
  6. eng_british_Manchester_II/joel14a.cha, line 1066 · Joel, 2;3.11
    MOThe swallowed water and he got a cough .
    INVoh dear .
    MOT*MOT: was it good though ?
    MOTdid you swim ?
    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. Joel eng_british_Manchester_II3.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel14a.chaJoel 2;3.111,776663.38

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. was6 · 100.0%