PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (775 utterances, 1,951 words searched).

  1. suna o kirei ni sun nya, nee . %mov:"20908"_3498868_3501656 FAT · japanese_ishii/20908.cha, line 1627 · Jun 2;09
  2. kore de kireekiree sun nya naa ? %mov:"20908"_3558852_3561066 FAT · japanese_ishii/20908.cha, line 1672 · Jun 2;09
  3. kireekiree sun nya naa ? %mov:"20908"_3569849_3569849 FAT · japanese_ishii/20908.cha, line 1680 · Jun 2;09
  4. nimotsu noseru nya naa,, kore naa ? %mov:"20908"_3748393_3749956 FAT · japanese_ishii/20908.cha, line 1810 · Jun 2;09
  1. CHIomizu de sun ne,, kore wa . %mov:"20908"_3494701_3498400
    FATun . %mov:"20908"_3498400_3498868
    FAT*FAT: suna o kirei ni sun nya, nee . %mov:"20908"_3498868_3501656
    CHIshuna [: suna] o # shuna o # taisetsu na shoo [?] ? %mov:"20908"_3501656_3507802
    FATe ? %mov:"20908"_3507802_3508666
  2. FATosooji no torakku ya na,, kore . %mov:"20908"_3552623_3553941
    CHI<osooji no torakku> [/] <osooji no torakku> [/] osooji no torakku . %mov:"20908"_3553941_3558852
    FAT*FAT: kore de kireekiree sun nya naa ? %mov:"20908"_3558852_3561066
    FAThora, kurukurukuruu@o to mawaru ne . %mov:"20908"_3561066_3562988
    FATnaa ? %mov:"20908"_3562988_3564111
  3. CHIgomi kirekiree to sun ne . %mov:"20908"_3566373_3569445
    FATsoo [/] soo . %mov:"20908"_3569445_3569849
    FAT*FAT: kireekiree sun nya naa ? %mov:"20908"_3569849_3569849
    CHIkore suna # suna o kireekiree ni sun ne . %mov:"20908"_3570883_3576486
    FATsoo da . %mov:"20908"_3576486_3577042
  4. FATkontenasha ya . %mov:"20908"_3746698_3747657
    CHIkore wa ? %mov:"20908"_3747657_3748393
    FAT*FAT: nimotsu noseru nya naa,, kore naa ? %mov:"20908"_3748393_3749956
    CHIkore wa ? %mov:"20908"_3749956_3751541
    FATn ? %mov:"20908"_3751541_3751933

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_ishii2.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20908.chaJun 2;9.081,951442.05

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. nya4 · 100.0%