PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (605 utterances, 2,355 words searched).

  1. who's that then ? MOT · eng_british_Manchester_I/anne25a.cha, line 790 · Anne 2;06
  2. who's that then ? MOT · eng_british_Manchester_I/anne25a.cha, line 806 · Anne 2;06
  3. who's that one ? MOT · eng_british_Manchester_I/anne25a.cha, line 842 · Anne 2;06
  4. and who's that ? MOT · eng_british_Manchester_I/anne25a.cha, line 852 · Anne 2;06
  5. who's that one ? MOT · eng_british_Manchester_I/anne25a.cha, line 913 · Anne 2;06
  6. and who's that one ? MOT · eng_british_Manchester_I/anne25a.cha, line 943 · Anne 2;06
  7. who's in your video ? MOT · eng_british_Manchester_I/anne25a.cha, line 987 · Anne 2;06
  8. and who's pushing you ? MOT · eng_british_Manchester_I/anne25a.cha, line 1263 · Anne 2;06
  1. MOTis this one Munching_Mike ?
    CHIno .
    MOT*MOT: who's that then ?
    CHIit's through there .
    CHIoh .
  2. MOTnot Clever_Cat .
    CHIhere's Clever_Cat .
    MOT*MOT: who's that then ?
    MOTdo you know ?
    MOTthat's Eddie_Elephant .
  3. MOToh .
    CHIxxx .
    MOT*MOT: who's that one ?
    CHIFireman_Sam .
    MOTFireman_Fred .
  4. CHIFireman_Fred .
    MOToh .
    MOT*MOT: and who's that ?
    CHIgolden+girl .
    MOTwhose name starts with golden+girl ?
  5. CHIno .
    MOTwho're you looking for ?
    MOT*MOT: who's that one ?
    MOTdo you know that one ?
    CHIthat's the Ticking_Tom .
  6. INVwww .
    MOToh .
    MOT*MOT: and who's that one ?
    CHIit's [*] haven't changed this one .
    MOTno .
  7. MOTwe'll watch the video later .
    MOTyou've got a video .
    MOT*MOT: who's in your video ?
    CHIAnnie_Apple .
    MOTAnnie_Apple's in the video ,, isn't she ?
  8. CHIxxx .
    MOTwww .
    MOT*MOT: and who's pushing you ?
    CHIDaddy .
    MOTright .

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_I3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25a.chaAnne 2;6.292,355883.40

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. who's8 · 100.0%