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: sordi_logogenia/A2_157.cha change

Searching only sordi_logogenia/A2_157.cha. Search all transcripts instead

5 matches in 5 utterances

32.26 per 1,000 words of the child (CHI), in 1 of 1 transcripts (29 utterances, 155 words searched).

Concordance Utterances Distribution Matched forms

Matteo ha un cane che abbaia CHI · sordi_logogenia/A2_157.cha, line 42 · Cam –
Matteo ha un cane a cui manca una zampa CHI · sordi_logogenia/A2_157.cha, line 44 · Cam –
Matteo vede il cane di cui conosce il padrone CHI · sordi_logogenia/A2_157.cha, line 46 · Cam –
Ahahahah P.s. sono un cane! CHI · sordi_logogenia/A2_157.cha, line 73 · Cam –
Asp...sono il cane che ha recitato in Hanna Montana Icarly, Sam e cat CHI · sordi_logogenia/A2_157.cha, line 79 · Cam –

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
sordi_logogenia/A2_157.cha	Cam	9	155	5	5	32.26

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