PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 2,043 words searched).

  1. or oars ? MOT · eng_british_Manchester_I/anne25b.cha, line 1540 · Anne 2;06
  2. oars . MOT · eng_british_Manchester_I/anne25b.cha, line 1544 · Anne 2;06
  3. what can we use for oars , Anne ? MOT · eng_british_Manchester_I/anne25b.cha, line 1548 · Anne 2;06
  4. um you'll have to pretend oars . MOT · eng_british_Manchester_I/anne25b.cha, line 1556 · Anne 2;06
  5. these can be the oars . MOT · eng_british_Manchester_I/anne25b.cha, line 1570 · Anne 2;06
  6. there's your oars . MOT · eng_british_Manchester_I/anne25b.cha, line 1580 · Anne 2;06
  1. MOTdoes look like a boat .
    MOTdoes [*] boats have steering wheels ?
    MOT*MOT: or oars ?
    CHIoars .
    MOToars .
  2. MOTor oars ?
    CHIoars .
    MOT*MOT: oars .
    MOTright .
    MOTwhat can we use for oars , Anne ?
  3. MOToars .
    MOTright .
    MOT*MOT: what can we use for oars , Anne ?
    MOToh .
    MOTI don't know .
  4. MOTI don't know .
    MOTI can't think .
    MOT*MOT: um you'll have to pretend oars .
    CHIno .
    MOTgo like this .
  5. CHIsome of that please .
    MOTokay .
    MOT*MOT: these can be the oars .
    CHIwhoops .
    CHIoars .
  6. MOTokay .
    CHIoars .
    MOT*MOT: there's your oars .
    CHIoars go here .
    CHIoars go here .

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. Anne eng_british_Manchester_I2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25b.chaAnne 2;6.292,043662.94

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. oars6 · 100.0%