PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 832 words searched).

  1. Maakun hoshii . %mov:"20327"_95226_96350 FAT · japanese_ishii/20327.cha, line 72 · Jun 2;03
  2. hitotsu hoshii naa . %mov:"20327"_194054_195196 FAT · japanese_ishii/20327.cha, line 128 · Jun 2;03
  1. japanese_ishii/20327.cha, line 72 · Jun, 2;3.27
    FATe ? %mov:"20327"_91932_92622
    CHIMaakun oshii bashu mo . %mov:"20327"_92622_95226
    FAT*FAT: Maakun hoshii . %mov:"20327"_95226_96350
    CHIbashu okii yo . %mov:"20327"_96350_97969
    FATaa okkii no . %mov:"20327"_97969_98719
  2. japanese_ishii/20327.cha, line 128 · Jun, 2;3.27
    FATii naa . %mov:"20327"_191221_192227
    CHIina yoo . %mov:"20327"_192227_194054
    FAT*FAT: hitotsu hoshii naa . %mov:"20327"_194054_195196
    CHIkiin # kiindotchu ii wa . %mov:"20327"_195196_198698
    FATe ? %mov:"20327"_198698_199103

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_ishii2.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20327.chaJun 2;3.27832222.40

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. hoshii2 · 100.0%