[PDF] Top 20 Lexical Chain Based Cohesion Models for Document Level Statistical Machine Translation
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Lexical Chain Based Cohesion Models for Document Level Statistical Machine Translation
... of lexical cohesion devices into document-level machine ...three cohesion models based on lexical cohesion de- vices: a direct reward model, a ... See full document
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Lexical Chains meet Word Embeddings in Document level Statistical Machine Translation
... procedure based on local ...the translation of a phrase with another from the phrase table), swap-phrases (ex- changes phrases), move-phrases (randomly moves phrases in the sentence), and resegment (changes ... See full document
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A Document Level SMT System with Integrated Pronoun Prediction
... pronoun-focused translation task at DiscoMT 2015 is a document-level phrase-based statistical ma- chine translation (SMT) system integrating a neu- ral network classifier for ... See full document
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Docent: A Document Level Decoder for Phrase Based Statistical Machine Translation
... DP-based SMT decoders have a parameter called distortion limit that limits the difference in word order between the input and the MT out- put. In DP search, this is formally considered to be a parameter of the ... See full document
6
Document Level Machine Translation Evaluation with Gist Consistency and Text Cohesion
... evaluating translation quality for one document should be to what degree the MT output correctly communicates the main idea of origin ...a statistical model which assumes each document can be ... See full document
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Document Level Machine Translation with Word Vector Models
... several lexical metrics (BLEU, NIST, TER, ME- TEOR and ROUGE), a syntactic metric based on the overlap of PoS elements (SP-Op), and an av- erage of a set of 21 lexical and syntactic met- rics (ULC), ... See full document
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Graph Based Collective Lexical Selection for Statistical Machine Translation
... creasing efforts that attempt to incorporate non- local associations/dependencies into lexical selec- tion. Efforts using source-side associations mainly focus on the exploitation of either sentence-level ... See full document
10
Document Wide Decoding for Phrase Based Statistical Machine Translation
... phrase- based SMT (Langlais et ...using models that do not fit well into the beam search paradigm is mentioned and illustrated with the example of a re- versed n-gram language model, which the authors claim ... See full document
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N gram based Tense Models for Statistical Machine Translation
... This paper proposes a simple yet effective method to model above observations. For each target sen- tence in the training corpus, we first parse it and ex- tract its tense sequence. Then, a target-side tense n-gram model ... See full document
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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
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Bilingual Lexical Cohesion Trigger Model for Document Level Machine Translation
... links, cohesion has been explored in the literature of both linguistics and computational ...linguistics. Cohesion is defined as relations of meaning that exist within the text and divided into grammatical ... See full document
5
Decision Trees for Lexical Smoothing in Statistical Machine Translation
... word level n-grams, sub-word level n-grams and part-of-speech information to perform di- ...method based on maximum entropy classiers, us- ing features like character n-grams, word n- grams, POS and ... See full document
10
An analysis of content free dialogue representation, supervised classification methods and evaluation metrics for meeting topic segmentation
... Although statistical significance (at the p < 0.05 level) for the effect of VOC Horizon fea- tures on accuracy could not be demonstrated with the Bayesian Network classifier, some influence influence on ... See full document
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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
Bilingual Cluster Based Models for Statistical Machine Translation
... the machine translation system was the direct textual output from an automatic speech recognition (ASR) decoder that was a component of a speech- to-speech translation ...the translation ... See full document
10
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) ... See full document
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Example based Machine Translation Based on Syntactic Transfer with Statistical Models
... the statistical gener- ations, the MT quality of ranks A+B+C by subjec- tive evaluation significantly ...the translation and the input sen- ...on translation speed, the worst time for Bottom-up ... See full document
7
AUT Document Alignment Framework for BUCC Workshop Shared Task
... these models is Para- graph Vector (Le and Mikolov, 2014) which can convert any variable length input from sentence to document, to a fixed length vector ...is based on Word to Vector model, we get ... See full document
9
Mixing Multiple Translation Models in Statistical Machine Translation
... Statistical machine translation (SMT) systems re- quire large parallel corpora in order to be able to obtain a reasonable translation ... See full document
10
Distortion Models for Statistical Machine Translation
... Existing statistical machine translation decoders have mostly relied on language models to select the proper word order among many possible choices when translating between two ... See full document
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