[PDF] Top 20 Neural versus Phrase Based Machine Translation Quality: a Case Study
Has 10000 "Neural versus Phrase Based Machine Translation Quality: a Case Study" found on our website. Below are the top 20 most common "Neural versus Phrase Based Machine Translation Quality: a Case Study".
Neural versus Phrase Based Machine Translation Quality: a Case Study
... to translation er- rors. In this specific framework, the high quality data created by professional translators guarantees reliable ...our study as a solid contribution to the better under- standing ... See full document
11
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... The quality of statistical machine trans- lation performed with phrase based ap- proaches can be increased by permuting the words in the source sentences in an order which resembles that of ... See full document
11
A Smorgasbord of Features to Combine Phrase Based and Neural Machine Translation
... a phrase penalty to count the number of phrase pairs used to compose the translation While translation models (Zhang et ...the case for the reordering ...good quality will have a ... See full document
14
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty et ...subword-level ... See full document
8
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... The quality of statistical machine translation performed with phrase based approaches can be increased by permuting the words in the source sentences in an order which resem- bles that ... See full document
11
Improving Neural Machine Translation through Phrase based Forced Decoding
... chine translation (SMT), neural machine translation (NMT) often sacrifices ade- quacy for the sake of ...existing phrase-based SMT model to com- pute the ... See full document
11
Learning to Generate Word and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation
... pounds to English, e.g., Lebensqualit¨at in German is translated as quality of life. We extract all such one-to-many word alignments from the parallel corpora using Fastalign (Dyer et al., 2013). There are several ... See full document
8
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 ...the case between English ... See full document
10
A Multifaceted Evaluation of Neural versus Phrase Based Machine Translation for 9 Language Directions
... (news) parallel training data is available (German and Russian), we append that dataset (News Com- mentary). For the remaining languages (Finnish and Romanian) we use the whole Europarl corpus. The amount of reordering ... See full document
11
Neural vs Phrase Based Machine Translation in a Multi Domain Scenario
... The word segmentation approach proposed in (Sennrich et al., 2016b) has been shown to be very effective in obtaining open vocabulary trans- lation with a fixed vocabulary in NMT. While this holds true for several cases ... See full document
5
Neural Machine Translation Leveraging Phrase based Models in a Hybrid Search
... Neural machine translation has become state-of- the-art in recent years, reaching higher transla- tion quality than statistical phrase-based machine translation ... See full document
10
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 quality of the translation of phrase-based system increases with the noise- level (as ... See full document
13
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 ... See full document
10
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... global phrase reordering. Our method is different from previous syntax-based SMT systems in which the translation process was modeled based on specific syntactic structures, either ... See full document
8
Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings
... to translation is the same for all methods: learn- ing word level embedding spaces for source and target languages and then aligning these ...either neural network models or parts of SMT pipeline is done ... See full document
7
Pseudo Word for Phrase Based Machine Translation
... most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus generated from word-based models (Brown et ...of phrase ... See full document
9
Supertagged Phrase Based Statistical Machine Translation
... extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each phrase-pair a set of target language syntactic struc- tures based on supertag ... See full document
8
Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation
... a phrase pair ex- traction procedure is the resulting phrase transla- tion table is very large, especially when a large quantity of parallel data is ...some phrase translation pairs are ... See full document
6
A Character level Decoder without Explicit Segmentation for Neural Machine Translation
... proposed neural ma- chine translation system can directly handle trans- lation at the level of characters without any word ...for neural machine translation to translate at the level of ... See full document
11
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... Human-Informed Translation and Interpreting Technology (HiT-IT 2019) took place in Varna, Bulgaria and spanned over two days (5-6 September 2019), as a post-RANLP 2019 conference ... See full document
10
Related subjects