[PDF] Top 20 Bilingual Structured Language Models for Statistical Machine Translation
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Bilingual Structured Language Models for Statistical Machine Translation
... There is a variety of ways syntax can be used in a PBSMT model. Typically a syntactic represen- tation of a source sentence is used to define con- straints on the order in which the decoder trans- lates it. For example, ... See full document
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Large and Diverse Language Models for Statistical Machine Translation
... Often more data is better data, and so it should come as no surprise that recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models (LM). ... See full document
6
Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Another approach is using restricted Boltzmann machines (RBMs) (Niehues and Waibel, 2012) instead of using multi-layer neural networks (Bengio et al., 2003; Schwenk, 2007; Le et al., 2011). Since probability in a RBM can ... See full document
6
Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertol- di, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexan- dra Constantin, and Evan ... See full document
7
Bilingual Sense Similarity for Statistical Machine Translation
... There has been extensive work on incorporating semantics into SMT. Key papers by Carpuat and Wu (2007) and Chan et al (2007) showed that word-sense disambiguation (WSD) techniques relying on source-language ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... get language. In most SMT systems the use of a 4-gram back-off language model usually achieves improvements in the BLEU score in comparison to the 3-gram LM used during ... See full document
8
Deep Syntax Language Models and Statistical Machine Translation
... Hierarchical Models increase the re- ordering capabilities of MT systems by introducing non-terminal symbols to phrases that map source language (SL) words/phrases to the correct position in the target ... See full document
9
Preprocessing on bilingual data for Statistical Machine Translation
... The above means that we can enumerate all the alignments for IBM Model 1 within reasonable time, and therefore find the Viterbi alignment. The same is true for IBM Model 2, which is like Model 1, but handles distortion ... See full document
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Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation
... for bilingual phrases in the context of SMT, inspired by the suc- cess of work on monolingual phrase embeddings (Socher et ...of bilingual phrase embeddings in these efforts is normally interacted and ... See full document
11
UCSMNLP: Statistical Machine Translation for WAT 2019
... the translation result, two bilingual resources were added to the training data and the result of our system was comparable to baseline PBSMT ...other models to get the adequate and fulfilled ... See full document
5
Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
... hand, language pairs with many clause-level order differences ...new translation task is often driven by costly empirical trials rather than by linguistic ...these language pairs have been the object ... See full document
43
A Structured Prediction Approach for Statistical Machine Translation
... Statistical Machine Translation (SMT) is attract- ing more attentions than rule-based and example- based methods because of the availability of large training corpora and automatic ...rich ... See full document
6
Review of Different Approaches for Machine Translations
... approach, translation is generated on the basis of statistical ...The statistical model parameters are derived from the analysis of bilingual text ...three: Statistical word-based ... See full document
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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... a bilingual dictionary of a negligibly small ...a bilingual dictionary without using any foregone word pairs, but by considering words from two languages that are near each other as pseudo word ... See full document
8
Bilingual Sentiment Consistency for Statistical Machine Translation
... Sentiment analysis has been approached mainly as an unsupervised or supervised problem, alt- hough the middle ground, semi-supervised ap- proaches, exists. In this paper, we take a lexicon- based, unsupervised approach ... See full document
9
Bilingual Cluster Based Models for Statistical Machine Translation
... the language model weight, minimum error train- ing (Och 2003) with respect to the BLEU score us- ing was conducted using the development ...During translation decoding, the domain spe- cific ... See full document
10
Wider Context by Using Bilingual Language Models in Machine Translation
... no bilingual language model was trained ...the bilingual language model reaches an order of ...gual language models, nearly no additional n-grams can be found in the ... See full document
9
Statistical Machine Translation with Local Language Models
... local language modeling approach with a decoder is ...word language model ...many language models, local language models can be added using the same func- tionalities of SRILM’s ... See full document
11
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... Language models (LM) are applied in many natural language processing applications, such as speech recognition and machine translation, to encapsulate syntactic, semantic and pragmatic ... See full document
7
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...one language to ...in machine translation between languages with significant word order differences ...Based Machine ... See full document
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