PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

4.82 per 1,000 words of the child (CHI), in 1 of 1 transcripts (232 utterances, 622 words searched).

  1. I went move the snow . CHI · eng_british_Manchester_I/aran16a.cha, line 106 · Aran 2;04
  2. I 0have [*] been moving snow . CHI · eng_british_Manchester_I/aran16a.cha, line 110 · Aran 2;04
  3. been moving snow . CHI · eng_british_Manchester_I/aran16a.cha, line 113 · Aran 2;04
  1. eng_british_Manchester_I/aran16a.cha, line 106 · Aran, 2;4.20
    CHIyeah .
    MOToh .
    CHI*CHI: I went move the snow .
    MOTin the snow ?
    CHII 0have [*] been moving snow .
  2. eng_british_Manchester_I/aran16a.cha, line 110 · Aran, 2;4.20
    CHII went move the snow .
    MOTin the snow ?
    CHI*CHI: I 0have [*] been moving snow .
    CHIbeen moving snow .
    MOToh you've been moving the snow .
  3. eng_british_Manchester_I/aran16a.cha, line 113 · Aran, 2;4.20
    MOTin the snow ?
    CHII 0have [*] been moving snow .
    CHI*CHI: been moving snow .
    MOToh you've been moving the snow .
    MOTyou mean like Postman_Pat did with the tractor ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Aran eng_british_Manchester_I4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran16a.chaAran 2;4.20622334.82

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. snow3 · 100.0%