[PDF] Top 20 Distributed Language Modeling for N best List Re ranking
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Distributed Language Modeling for N best List Re ranking
... the re-ranked translation when using different numbers of rele- vant data chunks for each ...to re-rank the N-best list, 36 chunks of data will be used at least once for 919 different ... See full document
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Applying the semantics of negation to SMT through n best list re ranking
... target language with respect to the placement of negation (Collins et ...and re- ranking hypotheses on the n-best list pro- duced after decoding according to the ex- tent to ... See full document
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Word Confidence Estimation for SMT N best List Re ranking
... Dealing with this problem, various approaches have been proposed: Blatz et al. (2003) combine several features using neural network and naive Bayes learning algorithms. One of the most ef- fective feature combinations is ... See full document
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Candidate re ranking for SMT based grammatical error correction
... SMT n-best list ranking information ...new re- ranking model using only these features, which we report in Table 3 ...no re-ranking, suggesting that the existing ... See full document
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SHEF Multimodal: Grounding Machine Translation on Images
... the n-best list produced by the SMT ...for n-best list re-ranking, and the visual classifier is pre-trained on a generic image ... See full document
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Sheffield Submissions for WMT18 Multimodal Translation Shared Task
... multimodal re-ranking approaches. More specifically, n-best translation candidates from this system are re-ranked using novel multimodal cross-lingual word sense disam- biguation ...(i) ... See full document
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A Joint Information Model for N Best Ranking
... of n-best ranking on the lexical semantics task of explain- ing/characterizing the similarity of a group of terms where only a small set of many possible semantic properties may be displayed to a ... See full document
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HYBRID OPTIMIZATION FOR GRID SCHEDULING USING GENETIC ALGORITHM WITH LOCAL SEARCH
... called n-best evaluation that uses association measure to rank the extracted terms candidates from a text corpus, and computes the precession for sets of highest-ranking candidates, called ... See full document
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A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
... gram/PLSA language model improves both signif- ...Charniak’s language model with the syntax- based translation model Yamada and Knight pro- posed (2001) to rescore a tree-to-string translation forest, ... See full document
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WSD for n best reranking and local language modeling in SMT
... a list of n-best translations produced by the ...supplementary language model for each sentence, aimed to favor translations that seem more adequate in this specific sen- tential ... See full document
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Web Image Re-Ranking
... to re-ranked that can be expressively short down by the query keyword that are provided by the ...a list of the ordered pairs of {concept codes, concept type codes} associated with an administered metadata ... See full document
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A Hybrid Approach to Adaptive Statistical Language Modeling
... A HYBRID APPROACH TO ADAPTIVE STATISTICAL LANGUAGE MODELING A HYBRID APPROACH TO ADAPTIVE STATISTICAL LANGUAGE MODELING Ronald Rosenfeld School of Computer Science C a r n e g i e M e l l o n U n i v[.] ... See full document
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Net4lap: Neural Laplacian Regularization for Ranking and Re-Ranking
... Since ranking is closely related to semi-supervised labelling (transductive inference) [11], good rankers have been recenlty defined in terms of minimizing the harmonic loss [12], ...the ranking function ... See full document
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Innovative Personalized Architecture In Case Of Web Search Users
... Now a recent study proposed the user profile based on concepts which are groups of words that co-occur frequently in web snippets of visited web pages, Here concepts are organized in the profile as a tree with the ... See full document
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A Joint Named Entity Recognition and Entity Linking System
... the ranking of multiple readings and has yet to be achieved in order to obtain an output where entity mentions are linked to adequate ...the best candi- date’s ...the best candidates’ scores, which ... See full document
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Beyond N Grams: Can Linguistic Sophistication Improve Language Modeling?
... Beyond N Grams Can Linguistic Sophistication Improve Language Modeling? Beyond N Grams Can Linguistic Sophistication Improve Language Modeling? Eric Brill, R a d u F l o r i a n , J o h n C H e n d e[.] ... See full document
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No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking
... correct ranking list of the given four images can be generated by taking four ...the best quality in these four candidate images (in this case, the blue ...the ranking list and then ... See full document
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Re Ranking Models Based on Small Training Data for Spoken Language Understanding
... our re-ranking models achieve the highest accuracy for automatic concept annota- tion when small data sets are ...a re- ranker based on STK (and the FLAT tree), which is less accurate than the other ... See full document
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A Contextual Language Model to Improve Machine Translation of Pronouns by Re ranking Translation Hypotheses
... of n-grams (N) and optimizing the α and β parameters on a development ...on n-grams where the preceding (pro)nouns of the same gender and number with the given pronoun are closer to ...gender-number ... See full document
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Latent Document Re Ranking
... indexing, Porter's stemmer and a stopword list 3 were used for the English documents. We use a French analyzer 4 to analyze French documents. It is worth noting that the CLEF-2008 TEL data is actually ... See full document
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