[PDF] Top 20 Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
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Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
... Malagasy is the official language of Madagascar. It has around 18 million native speakers. Although Mada- gascar is an African country, Malagasy belongs to the Malayo-Polynesian branch of the Austronesian lan- guage ... See full document
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A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... NE alignment, we first identify NEs from the source side ...modified joint source-channel model (Ekbal et ...corresponding parallel target NEs and finally we align the NEs if match is ... See full document
8
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... Current word alignment models for statisti- cal machine translation do not address mor- phology beyond merely splitting ...two-level alignment model that dis- tinguishes between ... See full document
9
Large Scale Decipherment for Out of Domain Machine Translation
... use decipherment to learn a full translation model from non-parallel ...the translation sys- tem has a very small ...handle word substitution ciphers with limited vocabulary, its ... See full document
10
HMM Word and Phrase Alignment for Statistical Machine Translation
... described word-to-phrase alignment mod- els capable of good quality bitext word ...Chinese-English translation and alignment they compare well to Model-4, even with large ...Viterbi ... See full document
8
Statistical Machine Translation with Word and Sentence Aligned Parallel Corpora
... statistical machine translation for new language pairs and domains: a reduction in the cost of cre- ating new training data, and the development of more efficient methods for exploiting existing ... See full document
8
Dependency Based Decipherment for Resource Limited Machine Translation
... more data becomes available and still rise sharply when the size of Spanish texts increases to 10 mil- lion tokens, where the DepType system improves deciphering accuracy of the Adjacent system from ... See full document
9
Scalable Decipherment for Machine Translation via Hash Sampling
... chine translation systems using only non- parallel ...tic decipherment approach, we first intro- duce a new framework for decipherment training that is flexible enough to incorpo- rate any ... See full document
10
Joint Prediction of Word Alignment with Alignment Types
... Word alignment is an essential component in a sta- tistical machine translation (SMT) ...neural machine translation (NMT) sys- ...to word alignment is based on IBM ... See full document
14
Feature Based Decipherment for Machine Translation
... learn translation model parameters, when parallel data are limited or unavailable (Koehn and Knight 2000; Ravi and Knight 2011; Dou, Vaswani, and Knight ...its translation is likely to appear ... See full document
22
Bayesian Word Alignment for Statistical Machine Translation
... commentary parallel corpus from the WMT shared task 8 for training, news2008 set for development, news2009 set for testing, and the 438M-word En- glish and ...cluding alignment symmetrization and ... See full document
6
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation
... Adapting SMT resources for other Arabic di- alects: Many researchers have explored the po- tential of using MSA as a pivot language for im- proving SMT of Arabic dialects (Bakr et al., 2008; Sawaf, 2010; Salloum and ... See full document
10
Unsupervised Alignment for Segmental based Language Understanding
... training data for segmen- tal annotation ...using alignment tech- niques designed to align multilingual parallel cor- pora in the machine translation ...between word sequences ... See full document
8
Squibs and Discussions: Measuring Word Alignment Quality for Statistical Machine Translation
... the word alignment are the phrase translation lexicon (which maps source phrases to target phrases using counts from the word alignment) and some of the word level ... See full document
12
Improving Statistical Word Alignment with a Rule Based Machine Translation System
... statistical machine transla- tion (SMT) (Brown et ...in translation lexicon building (Melamed 1996), transfer rule learning (Menezes and Richardson 2001), example-based machine translation ... See full document
7
An Overview of Translation Science
... VII. TRANSLATION ORGANIZATIONS There are more institutions, societies and organizations, which deal with ...associating translation and interpretation institutes affiliated to ...in translation, ... See full document
5
Diversify and Combine: Improving Word Alignment for Machine Translation on Low Resource Languages
... apply grow-diagonal-final (gdf). The decoding weights are optimized with minimum error rate training (MERT) (Och, 2003) to maximize BLEU scores (Papineni et al., 2002). There are 2028 sen- tences in the tuning set and ... See full document
5
Six Challenges for Neural Machine Translation
... Often, large amounts of training data are only available out of domain, but we still seek to have robust performance. To test how well NMT and SMT hold up, we trained five different systems us- ing different ... See full document
12
Parametric Weighting of Parallel Data for Statistical Machine Translation
... of parallel data in func- tion of its temporal distance to the development and test ...training data with respect to recency to the devel- opment and test ... See full document
9
Saliency driven Word Alignment Interpretation for Neural Machine Translation
... interpreting word alignments from NMT without relying on exter- nal ...clean word alignment interpretations, which we demonstrate both conceptually and ...obtain word align- ment ... See full document
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