PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/becky33a.cha change

Searching only eng_british_Manchester_I/becky33a.cha. Search all transcripts instead

9 matches in 8 utterances

6.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,395 words searched).

Concordance Utterances Distribution Matched forms

where do they come from ? MOT · eng_british_Manchester_I/becky33a.cha, line 338 · Becky 2;11
where ? MOT · eng_british_Manchester_I/becky33a.cha, line 455 · Becky 2;11
where [/] where did he scratch you today ? MOT · eng_british_Manchester_I/becky33a.cha, line 581 · Becky 2;11
where [/] where did he scratch you today ? MOT · eng_british_Manchester_I/becky33a.cha, line 581 · Becky 2;11
where did he scratch you ? MOT · eng_british_Manchester_I/becky33a.cha, line 585 · Becky 2;11
where's the dolly ? MOT · eng_british_Manchester_I/becky33a.cha, line 1263 · Becky 2;11
what do you mean where's the dolly ? MOT · eng_british_Manchester_I/becky33a.cha, line 1267 · Becky 2;11
where is he ? MOT · eng_british_Manchester_I/becky33a.cha, line 1546 · Becky 2;11
where's your Grandpa ? MOT · eng_british_Manchester_I/becky33a.cha, line 1562 · Becky 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

02468

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
eng_british_Manchester_I/becky33a.cha	Becky	2;11.08	1,395	8	9	6.45

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