[PDF] Top 20 Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings
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Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings
... Step 2: extract phrase candidates. Since we can not learn vectors for all phrases in the corpus, we have to decide which phrases to use to learn vectors for. One option is to randomly glue desired number of ... See full document
7
Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings
... The phrase table is considered to be the main bilingual resource for the phrase-based statisti- cal machine translation (PBSMT) ...During translation, a source sentence is ... See full document
10
Quality Estimation with Force Decoded Attention and Cross lingual Embeddings
... tures based on attention weights of a neural machine translation system and cross-lingual phrase embeddings as input features of a re- gression ...neural machine ... See full document
6
Adaptive Joint Learning of Compositional and Non Compositional Phrase Embeddings
... Learning embeddings of words and phrases has been widely studied, and the phrase embeddings have proven effective in many language process- ing tasks, such as machine translation (Cho ... See full document
11
Unsupervised Statistical Machine Translation
... 2, phrase-based SMT follows a modular architecture that combines several scoring functions through a log-linear ...the phrase table, we learn cross-lingual n-gram embeddings as discussed in ... See full document
11
Bilingually constrained Phrase Embeddings for Machine Translation
... any phrase as the mean- ingful composition of its internal ...the phrase, such as the syntactic category in pars- ing (Socher et ...semi-supervised phrase embedding is in fact performing ... See full document
11
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
9
Supertagged Phrase Based Statistical Machine Translation
... the language model a penalty imposed when formal compostion operators are violated. We combine the n-gram language model with a penalty factor that measures the number of encountered combinatory operator violations in a ... See full document
8
Learning to Generate Word and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation
... neural machine transla- tion (Wu et ...by translation of typologically di- vergent language pairs, especially when languages are morphologically rich (Burlot and Yvon, ... See full document
8
Phrase Based & Neural Unsupervised Machine Translation
... that combines these two previous neural ap- proaches, simplifying the architecture and loss function while still following the above men- tioned principles. The resulting model outper- forms previous approaches and is ... See full document
11
Bilingual Word Embeddings for Phrase Based Machine Translation
... The embeddings are learned through curriculum training on the Chinese Gigaword ...trained embeddings. When used to compute semantic simi- larity of phrase pairs, bilingual embeddings improve ... See full document
6
Entropy based Pruning for Phrase based Machine Translation
... English with large distance reorderings between phrases are more prone to search errors and benefit more from our pruning algorithm. To illustrate this, let us consider the source sentence “John married in Portugal”, and ... See full document
10
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
9
Improvements in Phrase Based Statistical Machine Translation
... the phrase-based sys- tem, we use the following feature functions: a trigram language model, the phrase translation model and the word-based lexicon ...and phrase penalty fea- ... See full document
8
The UZH System Combination System for WMT 2011
... and phrase pairs in the primary corpus, the less effect does the secondary corpus have on the final feature ...the phrase pairs extracted from the primary ...the translation hypothe- ses came from an ... See full document
5
Phrase-Based Machine Translation based on Simulated Annealing
... of phrase translations decreased the Bleu score by ...Conversely, phrase translations unselected by the SA algorithm would maybe allow to improve performance on the test ...system based on ... See full document
7
Comparing Phrase based and Syntax based Paraphrase Generation
... a phrase-based MT approach to paraphrasing with a syntax-based MT ...The Phrase-based approach performs better in terms of NIST score weighted by edit distance of the out- ...the ... See full document
7
Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... Similar morphological simplifications have been applied to other languages such as Roma- nian (Fraser and Marcu, 2005) in order to de- crease word alignment error rate. In (Niessen and Ney, 2001b), a hierarchical lexicon ... See full document
8
Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation
... In machine translation, intuitively, the informative content words should be emphasized more for better adequacy of the translation ...tical translation approach does not take account how ... See full document
8
Learning Composition Models for Phrase Embeddings
... evaluate phrase se- mantic similarity: the SemEval2013 shared task (Korkontzelos et ...word phrase pair are semantically simi- ...given phrase from candi- date ...input phrase (seven-choice ... See full document
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