[PDF] Top 20 Optimal Beam Search for Machine Translation
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Optimal Beam Search for Machine Translation
... Figure 3: A variant of the beam search algorithm. Uses dynamic programming to produce a lower bound on the optimal constrained solution and, possibly, a certificate of optimality. Function O UTSIDE ... See full document
12
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)
... the optimal property of our proposed algo- ...our beam search algorithm to remain ...neural machine translation demon- strate that our principled beam search algorithm ... See full document
6
Beam Search Strategies for Neural Machine Translation
... for beam size 5 and by 43% for beam size 14 without any drop in ...for beam size 5 whereas the absolute pruning tech- nique works best for a beam size ...for beam size 5 are ...fix ... See full document
5
Fast and Scalable Decoding with Language Model Look Ahead for Phrase based Statistical Machine Translation
... phrase translation candidates has a positive effect on both translation quality and ...the beam search as early as ...the search structure to use the LM costs of the first word of a new ... See full document
5
Search Aware Tuning for Machine Translation
... chine translation since the statistical ...large search space. For example, the popular beam-search decoding algorithm for phrase-based MT (Koehn, 2004) only explores O(nb) items for a ... See full document
11
Fast Decoding and Optimal Decoding for Machine Translation
... in MT. A heuristic is used in A* search to es- timate the cost of completing a partial hypothe- sis. A good heuristic makes it possible to accu- rately compare the value of different partial hy- potheses, and thus ... See full document
8
Statistical Machine Translation Models for Personalized Search
... and search context. When a query (e.g. “jaguar”) is ambiguous, the search results are inevitably mixed in content ...non- optimal for a given user, who is burdened by having to sift through the mixed ... See full document
8
A Beam Search Decoder for Normalization of Social Media Text with Application to Machine Translation
... The simplest baseline for text normalization is one that does no text normalization. The raw text (un-normalized) is simply passed on to the MT sys- tem for translation. We call this baseline O RIGINAL . The ... See full document
11
Neural Lattice Search for Domain Adaptation in Machine Translation
... lattice search perform best across train- ing configurations? As observed across each row in Table 3, lattice search typically outperforms the three other ...standard beam search in NMT and N ... See full document
6
Efficient Incremental Decoding for Tree to String Translation
... statistical machine translation so far are variants of either phrase-based or syntax-based ...employ beam search to make it tractable (Koehn, 2004). However, even beam search ... See full document
11
Optimizing Segmentation Strategies for Simultaneous Speech Translation
... In this paper, we propose new algorithms for learning segmentation strategies for si- multaneous speech translation. In contrast to previously proposed heuristic methods, our method finds a segmentation that di- ... See full document
6
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
... on search errors and model errors in neural machine translation ...of beam search and depth-first search. We use our exact search to find the global best model scores ... See full document
7
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
... neural machine translation (NMT) removes many ways of manually guiding the translation process that were available in older ...to beam search that forces the inclusion of pre-specified ... See full document
11
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation
... in beam search, Wiseman and Rush (2016) propose to run beam search in the forward pass of train- ing, then apply a new objective function to ensure the gold output does not fall outside the ... See full document
6
Word Reordering and a Dynamic Programming Beam Search Algorithm for Statistical Machine Translation
... of search procedures used in statistical MT: Brown et ...Candide translation system, which uses the translation model proposed in Brown et ...the search process, partial hypotheses are ... See full document
37
Unsupervised Search for the Optimal Segmentation for Statistical Machine Translation
... parallel search (Morfessor-p), and Mor- fessor with bilingual cost (Morfessor-bi) against the word-based ...phrase-based translation model genera- tion and ... See full document
6
Proceedings of the Third Conference on Machine Translation: Research Papers
... Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu and Boxing Chen . . . . . . . . . . . . . . . . . . . . . . 368 The RWTH Aachen ... See full document
30
Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT
... We conceived of the assignment as one in which stu- dents could apply machine learning or feature engi- neering to the task of reranking the systems, so we provided several tools. The first of these, learn, was a ... See full document
14
Proceedings of the Second Conference on Machine Translation
... Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL 2010 in Uppsala, Sweden, EMNLP 2011 in Edinburgh, Scotland, ... See full document
24
A Multi Task Architecture on Relevance based Neural Query Translation
... Our balanced translation architecture is presented in Figure 1. This architecture is NMT-model ag- nostic as we only propose to share two layers com- mon to most NMTs: the trainable target embedding layer and the ... See full document
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