PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.33 per 1,000 words of the child (CHI), in 1 of 1 transcripts (343 utterances, 601 words searched).

  1. hoee naa . %mov:"20225"_376572_379578 CHI · japanese_ishii/20225.cha, line 245 · Jun 2;02
  2. hoee . %mov:"20225"_384582_384582 CHI · japanese_ishii/20225.cha, line 250 · Jun 2;02
  1. japanese_ishii/20225.cha, line 245 · Jun, 2;2.25
    FATdare ga . %mov:"20225"_372371_373439
    FATJun ga kowashita naa . %mov:"20225"_373439_376572
    CHI*CHI: hoee naa . %mov:"20225"_376572_379578
    FATdoko ni . %mov:"20225"_379578_380226
    FATmisete . %mov:"20225"_380226_380946
  2. japanese_ishii/20225.cha, line 250 · Jun, 2;2.25
    CHIxxx basu xxx taa . %mov:"20225"_380946_383451
    FATaa, honto . %mov:"20225"_383451_384582
    CHI*CHI: hoee . %mov:"20225"_384582_384582
    FATtaiya ga kowareta nee . %mov:"20225"_385266_386988
    CHIn ? %mov:"20225"_386988_388145

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. Jun japanese_ishii3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25601223.33

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. hoee2 · 100.0%