PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,615 words searched).

  1. we'd have Old_Bear there . MOT · eng_british_Manchester_I/gail24b.cha, line 926 · Gail 2;07
  2. we'd have Duck . MOT · eng_british_Manchester_I/gail24b.cha, line 928 · Gail 2;07
  3. we'd have Bramwell_Brown . MOT · eng_british_Manchester_I/gail24b.cha, line 930 · Gail 2;07
  4. we'd have Little_Bear . MOT · eng_british_Manchester_I/gail24b.cha, line 932 · Gail 2;07
  5. we'd have one missing . MOT · eng_british_Manchester_I/gail24b.cha, line 936 · Gail 2;07
  6. so we'd have to keep +//. MOT · eng_british_Manchester_I/gail24b.cha, line 944 · Gail 2;07
  1. eng_british_Manchester_I/gail24b.cha, line 926 · Gail, 2;7.20
    MOTand if Daddy got us Jolly [/] Jolly_Tall we would have +...
    CHIyou find him .
    MOT*MOT: we'd have Old_Bear there .
    MOTwe'd have Duck .
    MOTwe'd have Bramwell_Brown .
  2. eng_british_Manchester_I/gail24b.cha, line 928 · Gail, 2;7.20
    CHIyou find him .
    MOTwe'd have Old_Bear there .
    MOT*MOT: we'd have Duck .
    MOTwe'd have Bramwell_Brown .
    MOTwe'd have Little_Bear .
  3. eng_british_Manchester_I/gail24b.cha, line 930 · Gail, 2;7.20
    MOTwe'd have Old_Bear there .
    MOTwe'd have Duck .
    MOT*MOT: we'd have Bramwell_Brown .
    MOTwe'd have Little_Bear .
    MOTand who wouldn't we have ?
  4. eng_british_Manchester_I/gail24b.cha, line 932 · Gail, 2;7.20
    MOTwe'd have Duck .
    MOTwe'd have Bramwell_Brown .
    MOT*MOT: we'd have Little_Bear .
    MOTand who wouldn't we have ?
    MOTwe'd have one missing .
  5. eng_british_Manchester_I/gail24b.cha, line 936 · Gail, 2;7.20
    MOTwe'd have Little_Bear .
    MOTand who wouldn't we have ?
    MOT*MOT: we'd have one missing .
    MOTwho's that ?
    CHIRabbit .
  6. eng_british_Manchester_I/gail24b.cha, line 944 · Gail, 2;7.20
    CHIRabbit .
    MOTRabbit .
    MOT*MOT: so we'd have to keep +//.
    MOToh look .
    MOTxxx .

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_I3.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail24b.chaGail 2;7.201,615663.72

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. we'd6 · 100.0%