PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,392 words searched).

  1. is this my lunch then ? MOT · eng_british_Manchester_I/becky20b.cha, line 1060 · Becky 2;06
  2. ever such a healthy lunch . INV · eng_british_Manchester_I/becky20b.cha, line 1071 · Becky 2;06
  3. is that my lunch ? MOT · eng_british_Manchester_I/becky20b.cha, line 1093 · Becky 2;06
  4. was it a great lunch ? MOT · eng_british_Manchester_I/becky20b.cha, line 1376 · Becky 2;06
  1. MOTyes .
    CHIdo you +/.
    MOT*MOT: is this my lunch then ?
    CHIyeah .
    MOTit needs to be cut up then , doesn't it ?
  2. CHIum yes .
    CHIit's going to be cut up .
    INV*INV: ever such a healthy lunch .
    MOTmmhm .
    CHIxxx cut .
  3. MOToh .
    MOTit's stuck to your sleeve .
    MOT*MOT: is that my lunch ?
    CHIit's [/] it's not cooked yet .
    MOToh .
  4. CHIwas that a great lunch ?
    CHIwas that a great lunch ?
    MOT*MOT: was it a great lunch ?
    MOTyes .
    MOTit was lovely .

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. Becky eng_british_Manchester_I2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky20b.chaBecky 2;6.291,392442.87

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. lunch4 · 100.0%