[PDF] Top 20 Learning Translation Boundaries for Phrase Based Decoding
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Learning Translation Boundaries for Phrase Based Decoding
... constrain phrase-based ...for phrase-based decod- ing, translation boundary predicted by our clas- sifier is a better choice than constituent bound- ary deduced from source-side parse ... See full document
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Phrase Based Decoding using a Discriminative Model
... The translation model used by this decoder is derived from a discrimina- tive model, instead of the usual phrase-table and reordering-table construction ...existing phrase-based decoder while ... See full document
9
Two Improvements to Left to Right Decoding for Hierarchical Phrase based Machine Translation
... We use a 5-gram LM trained on the Gigaword corpus and use KenLM (Heafield, 2011). We tune weights by minimizing BLEU loss on the dev set through MERT (Och, 2003) and report BLEU scores on the test set. Pop limit for ... See full document
6
Improve Statistical Machine Translation with Context Sensitive Bilingual Semantic Embedding Model
... standard phrase-based SMT system, and a language model is trained with the target side of bilingual ...Chinese-English translation task are re- ported in Table ...embedding learning. ... See full document
5
Learning Better Rule Extraction with Translation Span Alignment
... syntactic translation rule extraction, minimal GHKM (Galley et ...and phrase-based translation ...The translation quality is evaluated in terms of the case- insensitive IBM-BLEU4 ... See full document
5
Investigations on Phrase based Decoding with Recurrent Neural Network Language and Translation Models
... and translation models into a phrase-based de- ...RNN translation mod- els that are conditioned on the source context only, and used caching to integrate approximate RNN translation ... See full document
10
Learning Probabilistic Synchronous CFGs for Phrase Based Translation
... express translation phenomena, which has been shown to offer competitive performance in ...Since learning SCFGs for machine translation has proven notoriously difficult, most successful SCFG models ... See full document
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Translating Phrases in Neural Machine Translation
... uses phrase translations produced by the hierarchical phrase- based SMT system Hiero, as hard decoding con- ...SMT translation system, which is integrated an additional bilin- gual ... See full document
11
Exact Decoding of Phrase Based Translation Models through Lagrangian Relaxation
... needed for calculation of trigram language model scores; r is needed to enforce the distortion limit, and to calculate distortion costs. The bit-string b is needed to ensure that each word is translated ex- actly once. ... See full document
12
Simple and Effective Approach for Consistent Training of Hierarchical Phrase based Translation Models
... cal phrase-based translation ...a translation model, we perform hierarchical phrase- based decoding on training data to find derivations between the source and tar- get ... See full document
6
Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation
... for Phrase-Based Statistical Machine Translation (PB-SMT) to languages where word boundaries are not obviously marked by using both monolingual and bilingual information on English-Thai ... See full document
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Fast and Scalable Decoding with Language Model Look Ahead for Phrase based Statistical Machine Translation
... LM score computations are among the most expen- sive in decoding. Delaney et al. (2006) report signif- icant improvements in runtime by removing unnec- essary LM lookups via early pruning. Here we de- scribe an LM ... See full document
5
Learning to Generate Word and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation
... Despite the successes of neural machine transla- tion (Wu et al., 2016; Vaswani et al., 2017; Ahmed et al., 2018), state of the art NMT systems are still challenged by translation of typologically di- vergent ... See full document
8
Improving Neural Machine Translation through Phrase based Forced Decoding
... gives translation examples of our reranking method from the English-to-Chinese ...correct translation for “hypophy- sectomized” is “去(remove) 垂 体(hypophysis)” as shown in the reference ...rect ... See full document
11
The UZH System Combination System for WMT 2011
... (whose phrase table features take into account the primary corpus) is not better than a contrastive com- bination system with vanilla scoring, ...solely based on the secondary ...improve decoding by ... See full document
5
Hierarchical Phrase based Stream Decoding
... translation system is required to provide transla- tions within a reasonably short space of time after words have been spoken. Under this type of con- straint, it may not be possible to wait for the end of the ... See full document
6
Active Learning for Statistical Phrase based Machine Translation
... machine translation (SMT) mod- els need large bilingual corpora for train- ing, which are unavailable for some language ...active learning for SMT. We use active learning to improve the qual- ity of ... See full document
9
Incremental Decoding for Phrase Based Statistical Machine Translation
... The results in Table 4 show that the incremen- tal decoder was significantly faster than the beam search in re-decoding mode almost by a factor of 9 in the best case (for Fr-En). The speedup is pri- marily due to ... See full document
8
Exact Decoding for Phrase Based Statistical Machine Translation
... of translation derivations in phrase-based statistical ma- chine translation is given by the intersec- tion between a translation lattice and a tar- get language ... See full document
13
Cohesive Phrase Based Decoding for Statistical Machine Translation
... Our hope is that syntactic cohesion will help the decoder make smarter distortion decisions. An ex- ample with distortion is shown in Figure 2. In this case, we present two candidate French translations of an English ... See full document
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