[PDF] Top 20 Non linear Learning for Statistical Machine Translation

... phrase-based translation system(Chiang, ...The translation quality is evalu- ated use 4-gram case-insensitive BLEU (Papineni et ...a linear activa- tion ... See full document

... oracle translation – assum- ing an optimal (and potentially very complex) model and weight ...Currently, non-linearities in novel real-valued fea- tures are typically addressed via manual feature en- ... See full document

... layer, statistical machine translation method Like deep learning for speech ...the translation of such language is implemented in our ...speech translation of the Hindi to ... See full document

... the learning procedure has to uti- lize ...The learning rate η was selected in the same way, whereas the possible values were 1e−4, 1e−5, 1e−6 or, al- ternatively, Adadelta (Zeiler, 2012), which sets the ... See full document

... We develop a bottom-up CKY style decoder in our system, similar to Chiang (2005). For a Chinese sentence C, the decoder finds its best translation on the block with entire C on source side. The decoder first ... See full document

... active learning for SMT for domain adaptation and low-density/low-resource languages, there has been very little work published on this ...improve translation output in the de- ... See full document

... is thus significantly boosted. However, it comes at the cost that the translation quality is largely sacrificed since the intrinsic dependency within the natural language sentence is abandoned. A bulk of work has ... See full document

... The purpose of this paper is to describe speed improve- ments to the greedy decoder mentioned above. While ac- ceptably fast for the kind of evaluation used in Germann et al. (2001), namely sentences of up to 20 words, ... See full document

... 3. On the fly, we add transliterations to SMT phrase table. Instead of a phrasal probability, the transliterations have a special binary feature set to 1. In a tuning step, the Minimim Error Rate Training component of ... See full document

... log- linear SMT models, and presented principled methods for dynamically inferring test data de- pendent model parameters with development set ...good translation performance on multiple test sets with ... See full document

... our BA technique yields very small confidence in- tervals, about half a TER/BLEU point in the worst case, with only 10 adaptation samples. This is worth emphasising, since estimating Λ by means of MERT when very few ... See full document

... word-to-word translation model and a lexical- ized monolingual grammar are sufficient to drive a ...word-to-word translation model has allowed only one word align- ...word-to-word translation model ... See full document

... ensemble learning technique, to ...of statistical machine transla- tion models where each member of the ensemble has different feature function values for the SMT log-linear model (Koehn, ... See full document

... phrase-based statistical machine translation is often reduced by the complexity to construct ...phrase-based statistical machine translation, namely: the size of the phrase ... See full document

... sion translation task consisting entirely of read in- ...Multiple- Translation Corpus and ISI automatically extracted parallel data) in the case of the AE ... See full document

... frame. Learning methods have been devised that can gen- erate MRs with a complex, nested structure ...in statistical NLP. Other learning methods involve the use of fully- annotated augmented parse ... See full document

... erence translation was presented to the annota- tor, followed by translations from the syntax-based and phrase-based systems (in a random ...one translation was better than the ...some translation ... See full document

... defining non-parametric models on complete translation hypotheses, for use in an n- best re-ranking ...inducing non-linear features in the form of regression decision trees, which de- compose ... See full document

... of translation in phrase- based SMT ...phrase translation probabilities need to be es- timated accurately, which means sentences that of- fer phrases whose occurrences in the corpus were rare are ...human ... See full document

... online learning techniques proposed in this article allows us to achieve the goal of learning from scratch in an efficient ...manner. Learning from scratch is not only a theoretical scenario that can ... See full document