PHPCLANCHILDES with regular expressions

6 matches in 3 utterances

5.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (414 utterances, 1,125 words searched).

  1. lucka@wp lucka@wp [% MOT and inv laugh] . CHI · eng_USA_Valian/17b.cha, line 2359 · 17B 2;05
  2. lucka@wp lucka@wp [% MOT and inv laugh] . CHI · eng_USA_Valian/17b.cha, line 2359 · 17B 2;05
  3. lucka@wp lucka@wp . CHI · eng_USA_Valian/17b.cha, line 2361 · 17B 2;05
  4. lucka@wp lucka@wp . CHI · eng_USA_Valian/17b.cha, line 2361 · 17B 2;05
  5. lucka@wp lucka@wp . CHI · eng_USA_Valian/17b.cha, line 2363 · 17B 2;05
  6. lucka@wp lucka@wp . CHI · eng_USA_Valian/17b.cha, line 2363 · 17B 2;05
  1. eng_USA_Valian/17b.cha, line 2359 · 17B, 2;5.21
    CHI[- dances around] step in time, step in time .
    MOTcan you show her Good_luck_governor ?
    CHI*CHI: lucka@wp lucka@wp [% MOT and inv laugh] .
    CHIlucka@wp lucka@wp .
    CHIlucka@wp lucka@wp .
  2. eng_USA_Valian/17b.cha, line 2361 · 17B, 2;5.21
    MOTcan you show her Good_luck_governor ?
    CHIlucka@wp lucka@wp [% MOT and inv laugh] .
    CHI*CHI: lucka@wp lucka@wp .
    CHIlucka@wp lucka@wp .
    INVlucka@wp lucka@wp .
  3. eng_USA_Valian/17b.cha, line 2363 · 17B, 2;5.21
    CHIlucka@wp lucka@wp [% MOT and inv laugh] .
    CHIlucka@wp lucka@wp .
    CHI*CHI: lucka@wp lucka@wp .
    INVlucka@wp lucka@wp .
    MOTlucka@wp lucka@wp [% transcription skips ahead due to tape problems] .

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. 17B eng_USA_Valian5.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17b.cha17B 2;5.211,125365.33

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. lucka6 · 100.0%