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[PDF] Top 20 Bilingual Cluster Based Models for Statistical Machine Translation

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Bilingual Cluster Based Models for Statistical Machine Translation

Bilingual Cluster Based Models for Statistical Machine Translation

... In this section we compare the proposed method to other comtemporary methods: the cluster lan- guage model (CLM) and the sentence mixture model (SMix). The experimental results for these meth- ods were reported by ... See full document

10

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation

Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation

... We further show example source phrases in Ta- ble 5 with their most semantically similar trans- lations learned by BRAE and BCorrRAE in the training corpus. Both models can select correct translations for content ... See full document

11

Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation

Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation

... the translation output of a phrase-based SMT system is concatenation of phrases from the phrase table, whose probabilities can be calculated by ...CSLM. Based on this obser- vation, a novel neural ... See full document

7

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

Continuous Space Translation Models for Phrase Based Statistical Machine Translation

... In our initial experiments, we trained a neural network to estimate the forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard ... See full document

10

Review of Different Approaches for Machine Translations

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 ... See full document

6

Distortion Models for Statistical Machine Translation

Distortion Models for Statistical Machine Translation

... (Yamada and Knight, 2002) propose a syntax-based decoder that restrict word reordering based on reorder- ing operations on syntactic parse-trees of the input sentence. They reported results that are better ... See full document

8

Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation

Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation

... Table 2 presents the BLEU scores of the Japanese to English (JA-EN) translation outputs from the phrase-based SMT system on the WAT test set. The leftmost columns indicate the number of times a dictionary ... See full document

5

Bilingual Sentiment Consistency for Statistical Machine Translation

Bilingual Sentiment Consistency for Statistical Machine Translation

... Experiments were carried out with an in-house phrase-based system similar to Moses (Koehn et al., 2007). Each corpus was word-aligned using IBM model 2, HMM, and IBM model 4, and the phrase table was the union of ... See full document

9

Preprocessing on bilingual data for Statistical Machine Translation

Preprocessing on bilingual data for Statistical Machine Translation

... Precision is low in general. In the case of CRF, this is mostly because the algorithm tags sequences of words, and considers the entire sequence part of the same NE. In these sequences there are often non-NE words which ... See full document

47

Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring

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 ...chine translation ... See full document

8

Example based Machine Translation Based on Syntactic Transfer with Statistical Models

Example based Machine Translation Based on Syntactic Transfer with Statistical Models

... of statistical MT, an ap- propriate translation can be obtained even if we use simple models because a global search is applied after word re-ordering by syntac- tic ...the statistical gen- ... See full document

7

Mixing Multiple Translation Models in Statistical Machine Translation

Mixing Multiple Translation Models in Statistical Machine Translation

... Future work includes extending this approach to use multiple translation models with multiple lan- guage models in ensemble decoding. Different mixture operations can be investigated and the be- ... See full document

10

Identifying bilingual Multi-Word Expressions for Statistical Machine Translation

Identifying bilingual Multi-Word Expressions for Statistical Machine Translation

... and translation accuracy were ...in-domain bilingual MWE to Moses and gained ...extracting bilingual multi-word ...a bilingual lexicon in the phrase table of the M OSES sys- ... See full document

6

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

Learning Bilingual Linguistic Reordering Model for Statistical Machine Translation

... cal machine translation ...Chinese-to-English translation tasks. Experimental results show that our bilingual linguistic model outper- forms the state-of-the-art phrase-based and ... See full document

9

N gram based Tense Models for Statistical Machine Translation

N gram based Tense Models for Statistical Machine Translation

... The next task is to extract the tense sequence for each sentence. They are determined by all tense verbs in this sentence according to the strict top- down order. For example, the tense sequence of sentence (a), (b) and ... See full document

10

Toward Statistical Machine Translation without Parallel Corpora

Toward Statistical Machine Translation without Parallel Corpora

... phrase- based statistical machine translation sys- tem from monolingual corpora instead of a bilingual parallel ...on bilingual lexicon induction to estimate both lexical and ... See full document

11

Bilingual Sense Similarity for Statistical Machine Translation

Bilingual Sense Similarity for Statistical Machine Translation

... condition, based on training data for the NIST 2 2009 evaluation Chinese-to- English ...the translation model. We trained two language models: the first one is a 4- gram LM which is estimated on the ... See full document

10

Bilingual Structured Language Models for Statistical Machine Translation

Bilingual Structured Language Models for Statistical Machine Translation

... language models to phrase-based ...is based on the idea of syntactic transfer (DCA; Sec- tion 2) and the positive result indicates its ability to capture syntactic patterns across ...our ... See full document

11

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation

... a bilingual language model ...original bilingual models (Niehues et ...in bilingual units. In a series of translation experiments we performed a thor- ough comparison between various ... See full document

12

Post Editing System For Statistical Machine Translation

Post Editing System For Statistical Machine Translation

... of machine translation outputs are where the authors successfully performed statistical post-editing (SPE) of rule-based machine translation ...massive translation quality ... See full document

6

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