PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (529 utterances, 1,887 words searched).

  1. oh look some trees . MOT · eng_british_Manchester_I/carl02b.cha, line 283 · Carl 1;09
  2. are you going to put the trees out ? MOT · eng_british_Manchester_I/carl02b.cha, line 285 · Carl 1;09
  3. Carl put the trees out . MOT · eng_british_Manchester_I/carl02b.cha, line 290 · Carl 1;09
  4. I think there's somebody hiding behind the trees . MOT · eng_british_Manchester_I/carl02b.cha, line 1692 · Carl 1;09
  5. someone's hiding behind the trees . MOT · eng_british_Manchester_I/carl02b.cha, line 1697 · Carl 1;09
  6. now he's in the trees . MOT · eng_british_Manchester_I/carl02b.cha, line 1765 · Carl 1;09
  1. eng_british_Manchester_I/carl02b.cha, line 283 · Carl, 1;9.02
    CHIwhere 0has [*] the man gone ?
    MOTwhere's the man +/.
    MOT*MOT: oh look some trees .
    MOTare you going to put the trees out ?
    CHIyeah .
  2. eng_british_Manchester_I/carl02b.cha, line 285 · Carl, 1;9.02
    MOTwhere's the man +/.
    MOToh look some trees .
    MOT*MOT: are you going to put the trees out ?
    CHIyeah .
    MOTCarl put the trees out .
  3. eng_british_Manchester_I/carl02b.cha, line 290 · Carl, 1;9.02
    MOTare you going to put the trees out ?
    CHIyeah .
    MOT*MOT: Carl put the trees out .
    CHIwhere 0is [*] the neenaw@c ?
    MOTwhere's the neenaw@c ?
  4. eng_british_Manchester_I/carl02b.cha, line 1692 · Carl, 1;9.02
    MOTthat's # like a cat .
    CHIcat .
    MOT*MOT: I think there's somebody hiding behind the trees .
    CHItrees .
    MOTsomeone's hiding behind the trees .
  5. eng_british_Manchester_I/carl02b.cha, line 1697 · Carl, 1;9.02
    MOTI think there's somebody hiding behind the trees .
    CHItrees .
    MOT*MOT: someone's hiding behind the trees .
    CHIoh .
    CHIno .
  6. eng_british_Manchester_I/carl02b.cha, line 1765 · Carl, 1;9.02
    MOTnow .
    CHInow .
    MOT*MOT: now he's in the trees .
    MOTare you finding somebody ?
    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. Carl eng_british_Manchester_I3.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/carl02b.chaCarl 1;9.021,887663.18

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. trees6 · 100.0%