PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. Junkun, hanashu [: hanasu] zo . %mov:"00907"_26034_27974 FAT · japanese_ishii/00907.cha, line 27 · Jun 0;09
  2. hanashu [: hanasu] zo # u ! %mov:"00907"_128932_134069 FAT · japanese_ishii/00907.cha, line 115 · Jun 0;09
  1. japanese_ishii/00907.cha, line 27 · Jun, 0;9.07
    FATyoisho . %mov:"00907"_18915_20889
    FATtatchitatchii . %mov:"00907"_20889_26034
    FAT*FAT: Junkun, hanashu [: hanasu] zo . %mov:"00907"_26034_27974
    FATJunkuun . %mov:"00907"_27974_29007
    CHIxxx . %mov:"00907"_29007_29732
  2. japanese_ishii/00907.cha, line 115 · Jun, 0;9.07
    FAThanashu [: hanasu] zoo # ha ! %mov:"00907"_125661_128296
    CHIa . %mov:"00907"_128296_128932
    FAT*FAT: hanashu [: hanasu] zo # u ! %mov:"00907"_128932_134069
    CHIu . %mov:"00907"_134069_141473
    FATa [>] . %mov:"00907"_141473_142272

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. Jun japanese_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559223.58

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. zo2 · 100.0%