PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Speakers

Context

Ignore case Whole words

Scope One transcript: bilingual_eng_french_Genesee/oli33b00b.cha change

Searching only bilingual_eng_french_Genesee/oli33b00b.cha. Search all transcripts instead

5 matches in 5 utterances

2.53 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 1,975 words searched).

Concordance Utterances Distribution Matched forms

où est ce qu'il est ton bobo ? OBS · bilingual_eng_french_Genesee/oli33b00b.cha, line 290 · Olivier 2;11
ton bobo il est sur ta joue ? FAT · bilingual_eng_french_Genesee/oli33b00b.cha, line 310 · Olivier 2;11
we wear a helmet so we don't get a bobo on our head ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 754 · Olivier 2;11
est ce que t'as un bobo ? FAT · bilingual_eng_french_Genesee/oli33b00b.cha, line 812 · Olivier 2;11
is your bobo all gone now ? MOT · bilingual_eng_french_Genesee/oli33b00b.cha, line 848 · Olivier 2;11

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0123

2;102;113;003;01

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
bilingual_eng_french_Genesee/oli33b00b.cha	Olivier	2;11.15	1,975	5	5	2.53

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.