Paper Info
Title
Comparing the sentence alignment yield from two news corpora using a dictionary-based alignment system
Abstract
Corpus-based MT requires the input of large sentence aligned bilingual corpora, but these are hard to find for Japanese. Bilingual news corpora seem to offer a useful resource for Machine Translation, but their quality is variable. Sentence alignments produced by filtering literal word translations from the NHK corpus yield disappointing results, though correlating NP translations performs better. Using this method gets even better results from the Nikkei corpus. This paper reports sentence alignment results from 2 corpora, in a 2-pass dictionary based alignment system.
Year
DOI
Venue
2003
10.3115/1118905.1118926
ParallelTexts@NAACL-HLT
Keywords
Field
DocType
alignment system,bilingual corpus,better result,sentence alignment yield,nikkei corpus,dictionary-based alignment system,2-pass dictionary,nhk corpus,corpus-based mt,bilingual news corpus,large sentence,paper reports sentence alignment
Computer science,Machine translation,Filter (signal processing),Speech recognition,Natural language processing,Artificial intelligence,Sentence
Conference
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Stephen Nightingale111.39
Hideki Tanaka28015.07