PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (629 utterances, 2,653 words searched).

  1. are you having two dinners ? MOT · eng_british_Manchester_I/anne10a.cha, line 93 · Anne 2;01
  2. two dinners . MOT · eng_british_Manchester_I/anne10a.cha, line 97 · Anne 2;01
  3. two dinners for Anne then . MOT · eng_british_Manchester_I/anne10a.cha, line 99 · Anne 2;01
  4. there's two dinners . MOT · eng_british_Manchester_I/anne10a.cha, line 103 · Anne 2;01
  5. how many dinners has Anne got now ? MOT · eng_british_Manchester_I/anne10a.cha, line 348 · Anne 2;01
  6. three dinners . MOT · eng_british_Manchester_I/anne10a.cha, line 357 · Anne 2;01
  1. eng_british_Manchester_I/anne10a.cha, line 93 · Anne, 2;1.08
    CHIAnne's .
    MOTAnne's again .
    MOT*MOT: are you having two dinners ?
    CHIyeah .
    MOTtwo dinners .
  2. eng_british_Manchester_I/anne10a.cha, line 97 · Anne, 2;1.08
    MOTare you having two dinners ?
    CHIyeah .
    MOT*MOT: two dinners .
    MOTtwo dinners for Anne then .
    CHIthere's two dinners .
  3. eng_british_Manchester_I/anne10a.cha, line 99 · Anne, 2;1.08
    CHIyeah .
    MOTtwo dinners .
    MOT*MOT: two dinners for Anne then .
    CHIthere's two dinners .
    MOTthere's two dinners .
  4. eng_british_Manchester_I/anne10a.cha, line 103 · Anne, 2;1.08
    MOTtwo dinners for Anne then .
    CHIthere's two dinners .
    MOT*MOT: there's two dinners .
    INVyou're a greedy+guts ,, aren't you ?
    MOTshall we see what we can find for dinner then ?
  5. eng_british_Manchester_I/anne10a.cha, line 348 · Anne, 2;1.08
    MOTyou've already got two ,, haven't you ?
    CHII've got one two .
    MOT*MOT: how many dinners has Anne got now ?
    CHItwo .
    MOTtwo .
  6. eng_british_Manchester_I/anne10a.cha, line 357 · Anne, 2;1.08
    MOTtwo .
    MOTone two three .
    MOT*MOT: three dinners .
    CHIno .
    CHIAnne's got some more food in that one .

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. Anne eng_british_Manchester_I2.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne10a.chaAnne 2;1.082,653662.26

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. dinners6 · 100.0%