Work

Named entity transcription with pairn-gram models

Year: 2009
Type: conference-paper
Abstract: We submitted results for each of the eight shared tasks. Except for Japanese name kanji restoration, which uses a noisy channel model, our Standard Run submissions were produced by generative long-range pair n-gram models, which we mostly augmented with publicly available data (either from LDC datasets or mined from Wikipedia) for the Non-Standard Runs.
Language: English
Open Access status: bronze
OpenAlex ID: W2039724694
FWCI: 1.641
Cites: 7
Cited by: 10
Related to: 10