[PDF] Top 20 Distribution Based Pruning of Backoff Language Models
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Distribution Based Pruning of Backoff Language Models
... for pruning parameters from n-gram models, based on the n-gram distribution ...the distribution-based pruning method performed 7-9% (word perplexity reduction) better than ... See full document
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Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... We have presented a backoff model for phrase- based SMT that uses morphological abstractions to translate unseen word forms in the foreign lan- guage input. When a match for an unknown word in the test set ... See full document
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Web based and combined language models: a case study on noun compound identification
... the distribution of words in a stan- dard corpus follows the well known Zipfian dis- tribution (Baayen, 2001) while, in the web, it is very difficult to distinguish frequent words or n- grams as they are often ... See full document
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Compression of Neural Machine Translation Models via Pruning
... magnitude-based pruning with re- training is highly effective, and we compare three magnitude-based pruning schemes — class-blind, class-uniform and ...after pruning, we can prune 80% ... See full document
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Discriminating Similar Languages with Token Based Backoff
... guage models for some of the Finnish ...our language identifier (which at the moment has models for 395 languages and variants) or which consist mostly of lists of model ...the language ... See full document
8
Exact Decoding for Phrase Based Statistical Machine Translation
... unpruned language models of order 3 to 5 and show search- error curves for beam search and cube pruning on standard test ...with language models of orders higher than ... See full document
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Language Models Based on Semantic Composition
... corpus, based on the insight that words which are semantically similar will be found in similar contexts (Harris, 1968; Firth, ...vector-based models are primarily designed to represent isolated ... See full document
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HeLI, a Word Based Backoff Method for Language Identification
... the language identifier service that we had set up for the SUKI project web crawler, with almost 400 languages and dialects, and identified the language of each ...the language models created ... See full document
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Discriminative Pruning of Language Models for Chinese Word Segmentation
... generate models of any reasonably de- sired size. We take the pruning method based on Kullback-Leibler distance as the ...discriminative pruning method with the baseline method, we obtain ... See full document
8
A Model of Lexical Attraction and Repulsion
... Using a standard backoff trigram model as a default distribution, we built a class of exponential language models which use nonstationary features based on trigger words to allow the mod[r] ... See full document
8
Normalized Log Linear Interpolation of Backoff Language Models is Efficient
... interpolated backoff language mod- els yielded better perplexity than linearly interpo- lated models (Klakow, 1998; Gutkin, 2000), but experiments and adoption were limited due the im- practically ... See full document
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A Probabilistic Modeling of Distribution Equipment Deterioration; An application to Transformer Insulation.
... a distribution transformer located in Abule-Egba business unit network considered in this ...a distribution transformer stand on a firmer ground if they are relative rather than ... See full document
7
Incremental solution of LTMGA transfers transcribed with an advanced shaping approach
... Space Pruning), the pruning relies on a systematic search on the discretised search ...of pruning introduced by Becerra et ...a pruning of the departure and first gravity-assist dates was ... See full document
12
Pushdown Automata in Statistical Machine Translation
... of pruning might have introduced search ...sible pruning from the shortest-path algorithms, and doing so makes it straight- forward to compare the computational complexity of a full translation pipeline ... See full document
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UNBNLP at SemEval 2019 Task 5 and 6: Using Language Models to Detect Hate Speech and Offensive Language
... Results are shown in Table 1. 3 The character- level LM, which performed best on the devel- opment data, corresponds to our official submis- sion for the shared task. In terms of F-score, for both languages, all ... See full document
5
Evaluation of Language Models over Croatian Newspaper Texts
... are based on the first or both first and second order derivative calculation for signal and digital fil- ...Markov Models (HMM), mathematical morphol- ogy operators, genetic algorithms, Hilbert, length and ... See full document
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Stream based Randomised Language Models for SMT
... We now consider stream-based translation. Our first naive approach is to continually add new data from the stream to the training set without delet- ing anything. Given a constant memory bound this strategy only ... See full document
9
Utilizing Dependency Language Models for Graph based Dependency Parsing Models
... graph-based models becomes a very challenging problem in the dependency parsing ...dency language model (DLM) (Shen et ...child based on the N-1 immediate previous children and their head ... See full document
10
Weighted parsing for grammar based language models
... • wRTG-LMs with weight algebra BD if no chain rule and ε-rule has probability 1.0 (as in Ex. 3). (2) Non-looping wRTG-LMs with distributive M- monoids as weight algebras. A wRTG-LM G is non-looping if for every syntactic ... See full document
10
Performance Analysis of Binary Exponential Backoff and Improved Backoff for WPAN
... The IEEE 802.15.3 medium access control (MAC) is proposed, especially, for wireless personal area network (WPAN) short and high data rates applications, to coordinate the access to the wireless medium among the competing ... See full document
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