[PDF] Top 20 Application of Clause Alignment for Statistical Machine Translation

... The clause alignment is modelled as a bipartite ...a clause in either the source or the target ...of clause alignment is the task of the identification of the edges in a bipartite ... See full document

... Translational models allow us to enumerate possible structural relationships between pairs of strings. However, even within the constraints of a strict model, the ambiguity of natural language results in a very large ... See full document

... [1]. Machine translation is the application of computers to the task of translating text and speech from one to another human language [2] such as from Afaan Oromo to English or vice ...[7]. ... See full document

... word alignment and phrase extraction techniques from statistical machine translation can be applied to collect translational variations across various languages which are then used to identify ... See full document

... word alignment model for Phrase-Based Statistical Machine translation ...hybrid alignment model provides most informative alignment links which are offered by both un- supervised ... See full document

... To generate word alignments we use GIZA++ (Och and Ney 2003), which im- plements both the IBM Models of Brown et al. (1993) and the HMM model (Vogel, Ney, and Tillmann 1996). We use Model 1, HMM, and Model 4, in that ... See full document

... in statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based machine ... See full document

... event alignment approach is applied for the English-Bengali language ...The alignment has been carried out by single tokenizing the multi word events and event-actors on both sides of the parallel ...the ... See full document

... In statistical machine translation, estimat- ing word-to-word alignment probabilities for the translation model can be difficult due to the problem of sparse data: most words in a given ... See full document

... the translation correspond- ing to each segment given as an attribute to the encapsulating XML tag, similarly to the system described in (Smith and Clark, ... See full document

... Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between the source and target ...Recursive Alignment Block ... See full document

... quence alignment model based on SncTSSG to enhance the ability of non-contiguous phrase mod- eling and the reordering caused by non-contiguous constituents with large ...Chinese-English translation task, ... See full document

... We assume that after applying our method, the size of the extracted words would increase be- cause more alignments are generated at the end of the second run of GIZA++. Another assump- tion is that the size of the phrase ... See full document

... tion. HiFST, a WFST-based hierarchical translation sys- tem described in (Iglesias et al., 2009), was trained on the union of these alignments. MET (Och, 2003) was carried out using a development set, and the BLEU ... See full document

... In this work, we compare the translation performance of word alignments obtained via Bayesian inference to those obtained via expectation-maximization (EM). We propose a Gibbs sampler for fully Bayesian inference ... See full document

... finite clause can be translated separately and glued together us- ing the correct translation of the conjunction or the relative ...resulting translation is some- times not completely natural, but it ... See full document

... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document

... Statistical machine translation (SMT) relies heav- ily on annotated bilingual ...for translation-related knowledge, not only for phrase-based models (Och and Ney, 2004; Koehn et ...of ... See full document

... rules would be matched by the source sentences. It is widely accepted that word segmentation with a higher F-score will not necessarily yield better translation performance (Chang et al., 2008; Zhang et al., 2008; ... See full document

... Figure 7 shows a structogram of the algorithm. As the search space increases expo- nentially, it is not possible to explicitly represent it. Therefore, we represent the search space implicitly, using the functions Extend ... See full document