PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (397 utterances, 1,308 words searched).

  1. Gail's asleep . MOT · eng_british_Manchester_I/gail25b.cha, line 948 · Gail 2;08
  2. we thought you were really asleep . MOT · eng_british_Manchester_I/gail25b.cha, line 957 · Gail 2;08
  3. I think Caroline would love to be asleep . MOT · eng_british_Manchester_I/gail25b.cha, line 987 · Gail 2;08
  1. eng_british_Manchester_I/gail25b.cha, line 948 · Gail, 2;8.06
    MOTshush .
    MOTdon't make any noise .
    MOT*MOT: Gail's asleep .
    MOTwww .
    MOToh .
  2. eng_british_Manchester_I/gail25b.cha, line 957 · Gail, 2;8.06
    MOToh .
    MOTyou pretended for a long time then .
    MOT*MOT: we thought you were really asleep .
    MOTwere you ?
    MOTwere you having a little nap ?
  3. eng_british_Manchester_I/gail25b.cha, line 987 · Gail, 2;8.06
    CHIcan you be asleep ?
    MOToh .
    MOT*MOT: I think Caroline would love to be asleep .
    INVdefinitely .
    MOToh .

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. Gail eng_british_Manchester_I2.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail25b.chaGail 2;8.061,308332.29

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. asleep3 · 100.0%