PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (411 utterances, 1,391 words searched).

  1. he'd like Snowdon ? MOT · eng_british_Manchester_I/gail23b.cha, line 362 · Gail 2;07
  2. another Snowdon you think ? MOT · eng_british_Manchester_I/gail23b.cha, line 366 · Gail 2;07
  3. bad enough having one Snowdon . MOT · eng_british_Manchester_I/gail23b.cha, line 383 · Gail 2;07
  4. Snowdon ? MOT · eng_british_Manchester_I/gail23b.cha, line 848 · Gail 2;07
  1. eng_british_Manchester_I/gail23b.cha, line 362 · Gail, 2;7.13
    MOTwhat do you think he'd like ?
    CHIthink like Snowdon .
    MOT*MOT: he'd like Snowdon ?
    CHIlike me .
    MOTanother Snowdon you think ?
  2. eng_british_Manchester_I/gail23b.cha, line 366 · Gail, 2;7.13
    MOThe'd like Snowdon ?
    CHIlike me .
    MOT*MOT: another Snowdon you think ?
    CHIlike [/] like +...
    CHIdaddy like Snowdon .
  3. eng_british_Manchester_I/gail23b.cha, line 383 · Gail, 2;7.13
    MOTdo you ?
    CHIwe go buy one ?
    MOT*MOT: bad enough having one Snowdon .
    MOTnever mind two .
    MOTI don't think daddy's [//] daddy would be too pleased .
  4. eng_british_Manchester_I/gail23b.cha, line 848 · Gail, 2;7.13
    CHIhim .
    MOThim ?
    MOT*MOT: Snowdon ?
    CHIyes .
    MOTmy three babys .

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. Gail eng_british_Manchester_I2.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail23b.chaGail 2;7.131,391442.88

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. snowdon4 · 100.0%