[PDF] Top 20 Phrase Based & Neural Unsupervised Machine Translation
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Phrase Based & Neural Unsupervised Machine Translation
... Machine translation systems achieve near human-level performance on some languages, yet their effectiveness strongly relies on the availability of large amounts of parallel sen- tences, which hinders their ... See full document
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Bidirectional Phrase based Statistical Machine Translation
... a phrase-based SMT decoder, the word se- quence of the target language is typically gener- ated in order in a forward ...the translation are generated first, then the subsequent words, in order until ... See full document
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Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... statistical machine translation (PBSMT) (Koehn et ...the translation process using a phrase table, it is not easy to incorporate global information during ... See full document
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Towards one shot learning for rare word translation with external experts
... Neural machine translation (NMT) has significantly improved the quality of au- tomatic translation ...the translation of rare ...using phrase-based models to simulate ... See full document
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Improvements in Phrase Based Statistical Machine Translation
... the translation speed of the phrase-based translation ...the translation times. The translation speed of the monotone phrase-based system for all three tasks is ... See full document
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SampleRank Training for Phrase Based Machine Translation
... Margin-based techniques have the advantage that they do not have to employ expensive and com- plex algorithms to calculate the feature expectations. Typically, either perceptron ((Liang et al., 2006), (Arun and ... See full document
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Extract and Edit: An Alternative to Back Translation for Unsupervised Neural Machine Translation
... The Effect of Extraction Number k As shown in Table 1, the number k of the extracted-and- edited sentences plays a vital role in our approach. Thus for a more intuitive overview of its impact, we further train and ... See full document
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Unsupervised Extraction of Partial Translations for Neural Machine Translation
... There are various methods for extracting sentence pairs from monolingual corpora. However, most of them rely on the availability of document-level information, in comparable corpora for instance, and usually for one ... See full document
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Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation
... typical phrase-based machine transla- tion (PBMT) system uses phrase pairs extracted from word-aligned parallel ...All phrase pairs that are consis- tent with word alignments are ... See full document
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A Character level Decoder without Explicit Segmentation for Neural Machine Translation
... chine translation has considered words as a ba- sic ...existing translation systems, such as language models and phrase tables, are a count-based estimator of ...a phrase-based ... See full document
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Unsupervised Neural Machine Translation with SMT as Posterior Regularization
... of unsupervised NMT models in the itera- tive back-translation ...word-level translation tables inferred from cross-lingual ...patterns. Based on that, enhanced NMT models can generate better ... See full document
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Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global ...state-of-the-art phrase-based SMT ... See full document
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Pseudo Word for Phrase Based Machine Translation
... most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel cor- ...travel translation domain and news translation ... See full document
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Multi Domain Neural Machine Translation through Unsupervised Adaptation
... multi-domain translation scenarios call for infrastructures based on multi- ple specialised systems, each of which is tuned to maximise performance in a given ...however, translation requests rarely ... See full document
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A Multifaceted Evaluation of Neural versus Phrase Based Machine Translation for 9 Language Directions
... ral machine translation ...state-of-the-art neural machine translation and phrase-based machine translation sys- tems for 9 language directions across a ... See full document
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Phrase-Based Machine Translation based on Simulated Annealing
... speech translation system. Once phrase trans- lation table were induced by inter-lingual triggers and sim- ulated annealing algorithm, we used the decoder Pharaoh to translate text from English into ...the ... See full document
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Unsupervised Source Hierarchies for Low Resource Neural Machine Translation
... into neural machine translation (NMT) has recently proven success- ful (Eriguchi et ...an unsupervised tree-to-sequence (tree2seq) model for neural machine translation; ... See full document
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Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... In order to derive the morphological decompo- sition we use existing tools. For stemming we use the TreeTagger (Schmid, 1994) for German and the Snowball stemmer 1 for Finnish. A vari- ety of ways for compound splitting ... See full document
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Comparison between NMT and PBSMT Performance for Translating Noisy User Generated Content
... the phrase-based system performs far bet- ter in out-domain setting than in-domain ...the translation of phrase-based system increases with the noise- level (as measured by the metrics ... See full document
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A Neural Reordering Model for Phrase based Translation
... of phrase reordering models ...practical phrase-based systems. Un- like the distance-based reordering model (Koehn et ...penalizes phrase displacements in terms of the degree of ... See full document
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