PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (501 utterances, 2,056 words searched).

  1. these socks were clean on when you went to that party . MOT · eng_british_Manchester_II/nic32b.cha, line 521 · Nicole 2;11
  2. were [= actually said was] you looking where you were going ? MOT · eng_british_Manchester_II/nic32b.cha, line 985 · Nicole 2;11
  3. were [= actually said was] you looking where you were going ? MOT · eng_british_Manchester_II/nic32b.cha, line 985 · Nicole 2;11
  4. I bet you weren't looking where you were going . MOT · eng_british_Manchester_II/nic32b.cha, line 998 · Nicole 2;11
  5. were you only joking ? MOT · eng_british_Manchester_II/nic32b.cha, line 1312 · Nicole 2;11
  6. I didn't realize they were as long as this . MOT · eng_british_Manchester_II/nic32b.cha, line 1510 · Nicole 2;11
  7. you were ready +... MOT · eng_british_Manchester_II/nic32b.cha, line 1551 · Nicole 2;11
  1. CHIwhat ?
    MOTyou've just took these +//.
    MOT*MOT: these socks were clean on when you went to that party .
    MOTjust look at them .
    MOThow dirty they are .
  2. CHIyeah .
    MOToh .
    MOT*MOT: were [= actually said was] you looking where you were going ?
    CHImmhm .
    MOTyou was ?
  3. MOTis it a naughty door ?
    CHIyeah .
    MOT*MOT: I bet you weren't looking where you were going .
    CHIthat man 0is [*] poorly .
    MOTwhat man ?
  4. MOTI was looking for my pen .
    CHINicole only joking .
    MOT*MOT: were you only joking ?
    MOToh .
    MOTare you going to look at my diary ?
  5. MOTand I've got to cut them all .
    MOTthey are long .
    MOT*MOT: I didn't realize they were as long as this .
    MOTxxx .
    CHIthere [x 2] , please .
  6. MOThas it ?
    MOToh gosh .
    MOT*MOT: you were ready +...
    CHIxxx Emmerdale now .
    MOTEmmerdale isn't on , darling today .

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. Nicole eng_british_Manchester_II3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic32b.chaNicole 2;11.182,056673.40

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. were7 · 100.0%