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» Tackling Sparse Data Issue in Machine Translation Evaluation
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ACL
2010
13 years 2 months ago
Tackling Sparse Data Issue in Machine Translation Evaluation
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPO...
Ondrej Bojar, Kamil Kos, David Marecek
LREC
2010
178views Education» more  LREC 2010»
13 years 6 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman
IEICET
2008
136views more  IEICET 2008»
13 years 4 months ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
COLING
2002
13 years 4 months ago
Study of Practical Effectiveness for Machine Translation Using Recursive Chain-link-type Learning
A number of machine translation systems based on the learning algorithms are presented. These methods acquire translation rules from pairs of similar sentences in a bilingual text...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
ACL
1997
13 years 5 months ago
Decoding Algorithm in Statistical Machine Translation
Decoding algorithm is a crucial part in statistical machine translation. We describe a stack decoding algorithm in this paper. We present the hypothesis scoring method and the heu...
Ye-Yi Wang, Alex Waibel