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EMNLP
2008
14 years 10 days ago
Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
Parallel web pages are important source of training data for statistical machine translation. In this paper, we present a new approach to sentence alignment on parallel web pages....
Lei Shi, Ming Zhou
ACL
2006
14 years 8 days ago
A DOM Tree Alignment Model for Mining Parallel Data from the Web
This paper presents a new web mining scheme for parallel data acquisition. Based on the Document Object Model (DOM), a web page is represented as a DOM tree. Then a DOM tree align...
Lei Shi, Cheng Niu, Ming Zhou, Jianfeng Gao
NAACL
2010
13 years 8 months ago
Extracting Parallel Sentences from Comparable Corpora using Document Level Alignment
The quality of a statistical machine translation (SMT) system is heavily dependent upon the amount of parallel sentences used in training. In recent years, there have been several...
Jason R. Smith, Chris Quirk, Kristina Toutanova
ACL
2009
13 years 8 months ago
Mining Bilingual Data from the Web with Adaptively Learnt Patterns
Mining bilingual data (including bilingual sentences and terms1 ) from the Web can benefit many NLP applications, such as machine translation and cross language information retrie...
Long Jiang, Shiquan Yang, Ming Zhou, Xiaohua Liu, ...
COLING
2010
13 years 5 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim