PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (555 utterances, 1,785 words searched).

  1. let's make a face . MOT · eng_british_Manchester_II/joel27a.cha, line 227 · Joel 2;08
  2. look at that face . INV · eng_british_Manchester_II/joel27a.cha, line 1960 · Joel 2;08
  3. he's in your face ? MOT · eng_british_Manchester_II/joel27a.cha, line 1978 · Joel 2;08
  4. look at that face . MOT · eng_british_Manchester_II/joel27a.cha, line 2025 · Joel 2;08
  1. CHIdoes .
    MOTit doesn't .
    MOT*MOT: let's make a face .
    MOTthere .
    CHIxxx .
  2. MOTare you Mister_grumpy again now ?
    INVoh .
    INV*INV: look at that face .
    INVoh .
    MOTgo away , Mister_grumpy .
  3. MOTis he not here ?
    CHIhe's in my face .
    MOT*MOT: he's in your face ?
    CHIhe's in my mouth .
    MOToh .
  4. MOTwhat did you forget ?
    MOToh .
    MOT*MOT: look at that face .
    MOToh .
    MOTMister_grumpy .

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_II2.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel27a.chaJoel 2;8.1,785442.24

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. face4 · 100.0%