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[PDF] Top 20 Cache based Document level Statistical Machine Translation

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Cache based Document level Statistical Machine Translation

Cache based Document level Statistical Machine Translation

... Statistical machine translation systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring document-level ...a ... See full document

11

Lexical Chains meet Word Embeddings in Document level Statistical Machine Translation

Lexical Chains meet Word Embeddings in Document level Statistical Machine Translation

... a document are incon- sistently translated (Carpuat, ...use cache-models for this purpose, and Xiao et ...consistent translation for each of them, and generating a new translation of the ... See full document

11

Meta level Statistical Machine Translation

Meta level Statistical Machine Translation

... base- level and meta-level SMTs such as phrase-based SMT, hierarchical phrase-based SMT and syn- tax-based ...phrase- based SMT for both base-level and ...SMT based ... See full document

7

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

Document Wide Decoding for Phrase Based Statistical Machine Translation

Document Wide Decoding for Phrase Based Statistical Machine Translation

... Adding the semantic language model results in a small increase in NIST scores (Doddington, 2002) for all three test sets as well as a small BLEU score gain (Papineni et al., 2002) for two out of three cor- pora. We note ... See full document

12

Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache

Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache

... and translation models to a new domain using the cache-based mixture models as described ...caying cache model and implemented the phrase translation cache within the Moses ... See full document

8

Graph based Learning for Statistical Machine Translation

Graph based Learning for Statistical Machine Translation

... the level of surface word strings, but may also include lin- guistic information such as morphological features, part-of-speech tags, or syntactic ...score based on string ... See full document

9

Document Level Adaptation for Neural Machine Translation

Document Level Adaptation for Neural Machine Translation

... the machine translation community and is relevant both to the translation of new words and to more general improvements in translation ...training based on scores from in-domain and ... See full document

10

Lexical Chain Based Cohesion Models for Document Level Statistical Machine Translation

Lexical Chain Based Cohesion Models for Document Level Statistical Machine Translation

... General Document-Level Machine Translation Tiedemann (2010) propose cache-based language and translation models for document-level machine ...this ... See full document

11

Using a Graph based Coherence Model in Document Level Machine Translation

Using a Graph based Coherence Model in Document Level Machine Translation

... jection graph divided by the number of sentences. Mesgar and Strube (2015) evaluate this model for readability assessment. They show that the av- erage outdegree is not the best choice for quanti- fying the coherence. ... See full document

10

Statistical Phrase Based Post Editing

Statistical Phrase Based Post Editing

... human translation for example, is its partly repetitive ...same document, but when it is repeated over several documents, or equivalently, when the output of the same machine translation ... See full document

8

A Sense Based Translation Model for Statistical Machine Translation

A Sense Based Translation Model for Statistical Machine Translation

... lexicon translation model into ...for translation and language model adapta- ...for translation model adaptation. Xiao et al. (2012) propose a topic-based similar- ity model for rule selection ... See full document

11

Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level

Extending Machine Translation Evaluation Metrics with Lexical Cohesion to Document Level

... whole, based on the Rhetorical Struc- ture Theory (Mann and Thompson, 1988), a theory of text organization specifying coherence relations in an authentic ...measures, based on the Discourse Representation ... See full document

9

Document Level Machine Translation with Word Vector Models

Document Level Machine Translation with Word Vector Models

... to document-level ma- chine ...a statistical document-level de- coder (Docent), by enforcing translation choices that are semantically similar to the ...of translation. ... See full document

8

Improving Evaluation of Document level Machine Translation Quality Estimation

Improving Evaluation of Document level Machine Translation Quality Estimation

... of document-level quality estimation for machine translation ...standard based on post-edits incurs a 10–20 times greater cost than ... See full document

6

Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... phrase-based statistical machine translation is often reduced by the complexity to construct ...phrase-based statistical machine translation, namely: the size of ... See full document

12

Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation

Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation

... We implemented four features on the document level. The first two features are type token ra- tio (TTR) and a reformulation of it, OVIX, which is less sensitive to text length. These ratios have been ... See full document

6

Novel Document Level Features for Statistical Machine Translation

Novel Document Level Features for Statistical Machine Translation

... and document level MaxEnt ...ment level features, LM, and other components are tuned with PRO algorithm (Hopkins and May , 2011) to minimize the score of ... See full document

5

A machine translation system combining rule based machine translation and statistical post editing

A machine translation system combining rule based machine translation and statistical post editing

... aware machine translation. Our method can be ex- tended to document level ...set level but the test document ...input document, which is time ... See full document

5

To Cache or Not To Cache? Experiments with Adaptive Models in Statistical Machine Translation

To Cache or Not To Cache? Experiments with Adaptive Models in Statistical Machine Translation

... in translation hypotheses, the decoder would avoid ...studied cache-based translation mod- els in connection with interactive machine trans- ...of translation hypotheses) refers ... See full document

6

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