PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

15.87 per 1,000 words of the child (CHI), in 1 of 1 transcripts (311 utterances, 441 words searched).

  1. where 0has [*] fence gone ? CHI · eng_british_Manchester_I/anne03b.cha, line 85 · Anne 1;11
  2. where 0is [*] little fence ? CHI · eng_british_Manchester_I/anne03b.cha, line 95 · Anne 1;11
  3. more fence 0has [*] gone . CHI · eng_british_Manchester_I/anne03b.cha, line 121 · Anne 1;11
  4. more fence . CHI · eng_british_Manchester_I/anne03b.cha, line 143 · Anne 1;11
  5. fence . CHI · eng_british_Manchester_I/anne03b.cha, line 147 · Anne 1;11
  6. more fence . CHI · eng_british_Manchester_I/anne03b.cha, line 163 · Anne 1;11
  7. more fence . CHI · eng_british_Manchester_I/anne03b.cha, line 223 · Anne 1;11
  1. eng_british_Manchester_I/anne03b.cha, line 85 · Anne, 1;11.04
    MOTwww .
    MOTthat's the fence ,, isn't it ?
    CHI*CHI: where 0has [*] fence gone ?
    MOTwhere 0has [*] fence gone ?
    MOTwell .
  2. eng_british_Manchester_I/anne03b.cha, line 95 · Anne, 1;11.04
    MOTput it here .
    MOTthere you go .
    CHI*CHI: where 0is [*] little fence ?
    CHIhere .
    INVwww .
  3. eng_british_Manchester_I/anne03b.cha, line 121 · Anne, 1;11.04
    CHIgone .
    MOTthere we go .
    CHI*CHI: more fence 0has [*] gone .
    MOTpardon ?
    INVmore fence 0has [*] gone .
  4. eng_british_Manchester_I/anne03b.cha, line 143 · Anne, 1;11.04
    MOTover here ?
    CHIno .
    CHI*CHI: more fence .
    MOTpardon ?
    CHIfence .
  5. eng_british_Manchester_I/anne03b.cha, line 147 · Anne, 1;11.04
    CHImore fence .
    MOTpardon ?
    CHI*CHI: fence .
    MOTyou're making a bench ?
    CHIwall .
  6. eng_british_Manchester_I/anne03b.cha, line 163 · Anne, 1;11.04
    MOTfit down here ?
    CHIxxx .
    CHI*CHI: more fence .
    MOTmore fence .
    CHIthere .
  7. eng_british_Manchester_I/anne03b.cha, line 223 · Anne, 1;11.04
    CHImake field .
    MOTyou're making a field ,, are you ?
    CHI*CHI: more fence .
    CHImake field .
    MOTthat's a big one you're building ,, isn't it ?

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. Anne eng_british_Manchester_I15.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne03b.chaAnne 1;11.044417715.87

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. fence7 · 100.0%