n-best list
Distributed Language Modeling for N best List Re ranking
... the N - best list to verify that there are alternative hypothe- ses better than the model-best ...acle best translations are created by selecting the hypothesis which has the highest ...
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Applying the semantics of negation to SMT through n best list re ranking
... A hierarchical phrase based model (HPBM) was trained on a corpus of 625000 ( ∼ 18.200.000 to- kens) length-ratio filtered sentences. 56949 sen- tences ( ∼ 9.11%) of the Chinese side and 48941 sentences ( ∼ 7.83%) of the ...
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Word Confidence Estimation for SMT N best List Re ranking
... the N-best list to im- prove MT ...called N-best ...the N-best list, although the current 1-best beats the remains in terms of model score, it might not be ...
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A Better N Best List: Practical Determinization of Weighted Finite Tree Automata
... the best 10 English translation parse trees obtained from a syntax-based translation system based on (Galley, ...-best list of results is really an -best list of ...
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WSD for n best reranking and local language modeling in SMT
... the n-best list gen- erated by the SMT ...the list that match one of the proposed translations are boosted and are thus more likely to appear in the final trans- ...
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Coarse to Fine n Best Parsing and MaxEnt Discriminative Reranking
... an n- best version of his parser by turning off dy- namic programming (see the user’s guide to Bikel’s re-implementation of Collins’ parser, ...50-best list (Collins, personal communication), ...
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Dependency Hashing for n best CCG Parsing
... every n-best parse for every sentence in CCG- bank 00 was unique (see Table 1), corroborating our decision to use hashing ...the n-best ...
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A Joint Information Model for N Best Ranking
... EIIR list because of the overlap in information between televangelist and ...the n-best list is selected by iteratively choosing the highest scoring result and then discounting each remaining ...
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Empirically combining unnormalized NNLM and back-off N-gram for fast N-best rescoring in speech recognition
... the N-best list is investigated, and the normalizing factor for each hypothesis is approximated as a constant for fast rescoring without considering the variance of the normalizing ...
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N Best Reranking by Multitask Learning
... (3) In this case, all possible trigrams seen in the N- best list are extracted as features. One can see that this kind of feature can be very sensitive to the first-pass decoder: if the decoder has ...
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Keyphrase Extraction for N best Reranking in Multi Sentence Compression
... The main difficulty of MSC is to generate sentences that are both informative and grammatically correct. Here, redundancy within the set of input sentences is used to identify important words and salient links between ...
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Impact of ASR N Best Information on Bayesian Dialogue Act Recognition
... and n-grams with different smoothing methods. Their best models achieve an accuracy of 66% on En- glish Switchboard data and 89% on a Spanish cor- ...with n- grams to classify dialogue acts using ...
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N Best Rescoring Based on Pitch accent Patterns
... the n-best list from the first ASR system for the entire test ...in n-best list, we gave a prosody score of 0 to the 100 th hypothe- sis, and used automatically obtained prosodic ...
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Robust Dialog Management with N Best Hypotheses Using Dialog Examples and Agenda
... and n-best recognition hypotheses. This approach sup- ports n-best hypotheses in the dialog man- ager and keeps track of the dialog state us- ing a discourse interpretation algorithm with the ...
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A List
... a list of the schools’ law reviews in which Fred published articles, based on a search of the Journals and Law Reviews (JLR) database of Westlaw, using the search term “Fred /2 ...
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Usage of N-List by the Teacher Fraternity in the Govt. College of Education, Jammu: A Case Study
... using N- List, whereas (100%) faculty members believed lack of training to be one of the reason for not optimally utilising the service and a very small number (13%) also believed that there was not enough ...
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Integration of Diverse Recognition Methodologies Through Reevaluation of N Best Sentence Hypotheses
... Integration of Diverse Recognition Methodologies Through Reevaluation of N Best Sentence Hypotheses Integration of Diverse Recognition Methodologies Through Reevaluation of N B e s t Sentence H y p o[.] ...
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VocabAnalyzer: A Referred Word List Analyzing Tool with Keyword, Concordancing and N-gram Functions
... Abstract. This paper introduces the newly created VocabAnalyzer which is equipped with keyword, concordancing and n-gram functions. The VocabAnalyzer also allows the comparison of the inputted text against Jeng et ...
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N gram and Gazetteer List Based Named Entity Recognition for Urdu: A Scarce Resourced Language
... (Bikel et al., 1997) developed IdentiFinder using HMM for English and Spanish languages to extract proper names and to make four categories including names, times, dates and numerical quantities. The system is reported ...
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Implementation of a Chomsky Schützenberger n best parser for weighted multiple context free grammars
... Of the grammar classes in the Chomsky hi- erarchy Chomsky, 1959, context-free grammars short: CFGs lack the expressive power necessary to model natural languages Shieber, 1985 and parsin[r] ...
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