PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (564 utterances, 2,097 words searched).

  1. and that's a giraffe . MOT · eng_british_Manchester_II/nic04b.cha, line 35 · Nicole 2;01
  2. that's the giraffe . MOT · eng_british_Manchester_II/nic04b.cha, line 1463 · Nicole 2;01
  3. +, giraffe . INV · eng_british_Manchester_II/nic04b.cha, line 1465 · Nicole 2;01
  4. that's the giraffe , isn't it ? MOT · eng_british_Manchester_II/nic04b.cha, line 1473 · Nicole 2;01
  5. are you gonna [: going to] put the giraffe on ? MOT · eng_british_Manchester_II/nic04b.cha, line 1475 · Nicole 2;01
  6. tiger willn't fit on top of the giraffe , Nicole . MOT · eng_british_Manchester_II/nic04b.cha, line 1502 · Nicole 2;01
  1. eng_british_Manchester_II/nic04b.cha, line 35 · Nicole, 2;1.22
    MOTthat's a tiger .
    MOTthat's a tiger .
    MOT*MOT: and that's a giraffe .
    MOTnow don't you think that tiger +/.
    CHIbaby .
  2. eng_british_Manchester_II/nic04b.cha, line 1463 · Nicole, 2;1.22
    INVoh no it isn't .
    INVthat's &ele [/] that's +/.
    MOT*MOT: that's the giraffe .
    INV+, giraffe .
    MOTxxx .
  3. eng_british_Manchester_II/nic04b.cha, line 1465 · Nicole, 2;1.22
    INVthat's &ele [/] that's +/.
    MOTthat's the giraffe .
    INV*INV: +, giraffe .
    MOTxxx .
    MOTcan you see the tiger ?
  4. eng_british_Manchester_II/nic04b.cha, line 1473 · Nicole, 2;1.22
    MOTcan you see the tiger ?
    MOTxxx .
    MOT*MOT: that's the giraffe , isn't it ?
    MOTare you gonna [: going to] put the giraffe on ?
    MOTthere .
  5. eng_british_Manchester_II/nic04b.cha, line 1475 · Nicole, 2;1.22
    MOTxxx .
    MOTthat's the giraffe , isn't it ?
    MOT*MOT: are you gonna [: going to] put the giraffe on ?
    MOTthere .
    INVI don't think he's very easy to put on .
  6. eng_british_Manchester_II/nic04b.cha, line 1502 · Nicole, 2;1.22
    INVoh there's the tiger .
    MOTno .
    MOT*MOT: tiger willn't fit on top of the giraffe , Nicole .
    CHIno .
    INVwhat about in that bit of field ?

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_II2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04b.chaNicole 2;1.222,097662.86

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. giraffe6 · 100.0%