[PDF] Top 20 Lightly Supervised Training for Hierarchical Phrase Based Machine Translation

... of hierarchical phrases. Phrase- based machine translation systems are usually able to correctly handle local context dependencies, but often have problems in producing a fluent ... See full document

... cal phrase-based SMT by training a series of sep- arate sub-models to learn reorderings for word pairs with distances less than a specific thresh- old, based on the experimental fact that ... See full document

... the hierarchical phrase-based trans- lation paradigm, without having to resort to ap- proximations in decoding, which is necessary to determine the right-to-left orientation in a standard ... See full document

... This paper proposes a soft dependency matching model for hierarchical phrase-based (HPB) machine translation. When a HPB rule is extracted, we enrich it with dependency knowledge ... See full document

... decoder based phrase segmentation and a new algorithm which can iteratively train the segmentation ...segmentation based on the evaluation metric of the translation ...the phrase ... See full document

... statistical machine translation (MT), joining a line of research (Wu 1997; Alshawi, Bangalore, and Douglas 2000; Yamada and Knight 2001) that has been fruitful but has not previously produced systems that ... See full document

... alignment phrase training, as described by (Wuebker et al., 2010). Phrase training is called with a single command for any number of ...bilingual phrase matching before search and by ... See full document

... on translation modeling, mixed methods have been investigat- ed for domain adaptation in SMT by adding do- main information as additional labels to the orig- inal phrase table (Foster and Kuhn, ...the ... See full document

... The training data, as same as Cui et ...a hierarchical phrase-based SMT model similar to Chiang ...for translation performance evaluation is ... See full document

... Various methods have been proposed in order to solve the reordering problem for HPB model. Some of them focus on the sentence rewriting in the preprocessing stage (Xia and McCord, 2004; Collins et al., 2005; Wang et al., ... See full document

... that machine translation could be treated very much like search in a protein ...select training sentences that match the input sentence as closely as possible, under some evaluation function that ... See full document

... For developing the language model, the Joshua MT system uses KenLM (Heafield, 2011) toolkit or BerkeleyLM. This is the end of the training pro- cess. The steps that follow in the pipeline are tun- ing and testing. ... See full document

... either translation or transliteration, depending on the ...non-names based on a matching algo- ...for training using an averaged ...a machine translation ... See full document

... NLP-TEA-2 training data are extracted from essays written by high-level Chinese learners and, in most cases, these learners produce only one- or two-word- ... See full document

... (maximum phrase length 7), and then used Koehn’s implementation of minimum- error-rate training (Och, 2003) to tune the feature weights to maximize the system’s BLEU score on our development set, yielding ... See full document

... consistent training of hierarchi- cal phrase-based translation ...a translation model, we perform hierarchical phrase- based decoding on training data to ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondˇrej Bojar, Alexandra Constantin, and Evan ... See full document

... For hierarchical rules, we classify the source- side and the target-side into 7 and 17 reordering patterns, ...ambiguous hierarchical source- side. Therefore, the training examples for each MaxEnt ... See full document

... We used these three corpora to extract a set of sentences that were aligned to each other across all four languages. For that purpose, we used English as the pivot. For each distinct English sentence, we extracted the ... See full document

... Chiang’s hierarchical phrase-based (HPB) transla- tion model utilizes synchronous context free gram- mar (SCFG) for translation derivation (Chiang, 2005; Chiang, 2007) and has been widely ... See full document