[PDF] Top 20 Improving Statistical Machine Translation using Lexicalized Rule Selection

... a lexicalized approach for rule selection for syntax-based statistical ma- chine ...context-dependent rule selection. We build a maximum entropy based rule ... See full document

... for non-ambiguous source tree will be set to 1.0. Therefore, the decoder will prefer to use non-ambiguous TATs. However, non- ambiguous TATs usually occur only once in the training corpus, which are not reliable. Thus we ... See full document

... Syntax-based machine translation is well known for its ability to handle non-local ...the translation quality of hi- erarchical systems (Hiero) as shown in (Marton et ...2010). Improving the ... See full document

... of using a PBMT system as an automated ...raw machine-translation output, along with its human-post-edited counterpart, we can train the system to translate from the former into the lat- ...for ... See full document

... data selection part in the Figure 1 and transla- tion selection by the translation evaluation and se- lection part in the Figure 1, as the ja-en ... See full document

... In order to address this issue, predicate-argument structures (PAS), which identify semantic frames within sentences by marking predicates, and labeling arguments with semantic roles, have been explored for SMT via ... See full document

... Rule-based machine translation (RBMT) and Statistical machine translation (SMT) are two well-known approaches for translation which have their own ...lexical ... See full document

... This rule can be simulated by conjunctions of three phrases (‘ ’, ‘I’; ‘ ’, ‘love’; ‘ ...the translation rule in Figure 3(b) is an actual discontiguous phrase ...This rule can not be simulated ... See full document

... Statistical machine translation (SMT) is now generally taken to be an enterprise in which machine learning tech- niques are applied to a bilingual corpus to produce a trans- lation system ... See full document

... We also investigate the effectiveness of the im- proved word alignments on the parsing-based SMT system, Joshua (Li et al., 2009). In this sys- tem, the Hiero-style SCFG model is used (Chiang, 2007), without syntactic ... See full document

... model using source-side and target-side n-gram lexical features similar to the CSRS ...When using this feature set, the performance of the MERS model dropped signifi- ... See full document

... In training process, we use GIZA++ 4 toolkit for word alignment in both translation directions, and apply “grow-diag-final” method to refine it (Koehn et al., 2003). We change the preprocess part of GIZA++ toolkit ... See full document

... by using a rule- based translation ...a rule-based translation system that pro- vides appropriate translation candidates for each source word or phrase, we select appropriate ... See full document

... In this section, we obtain upper bounds on the translation performance based on the target cover- age (TCOV) of n-grams of the test set found in the selected ParFDA training data. We obtain transla- tions based on ... See full document

... of translation in the context of SMT. They found that a translation model based on the S → T portion of the parallel corpus results in much better translation quality than a translation model ... See full document

... analysis using the Translation Edit Rate (TER) measure (Snover et ...measures translation quality by computing the number of edits (insertions, substitu- tions, and deletions) and shifts required to ... See full document

... There are various machine translation systems till date. The Desika system developed by Indian Heritage Group, C-DAC, and Bangalore is a NLU system for generation and analysis for plain and accented written ... See full document

... SD-NMT translation results together with their dependency trees from NIST test sets where both source- and target-side do not contain unk and have a length of ... See full document

... a machine learning method to improve pivot-based statistical machine translation ...SMT using another language as a "bridge" to gen- erate source-target ...possible ... See full document

... Sentences using Schematic Word Patterns Stephen Wan, Robert Dale, Mark Dras and Cecile Paris ...543 Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment ... See full document