alignment model
Alignment Model Adaptation for Domain Specific Word Alignment
... word alignment through alignment model ...two alignment models with a large-scale out-of-domain corpus and a small-scale domain-specific ...adaptation model by linearly interpolating ...
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Online Reviews Based on the Word Alignment Model
... optimal alignment. B. Partially-Supervised Word Alignment Model As mentioned in the first section, the standard word alignment model is usually trained in a completely unsupervised ...
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A Sequence Alignment Model Based on the Averaged Perceptron
... quence alignment model based on the av- eraged ...this model permits and transparently exploits arbitrary features of input ...the model to be applied to a variety of problem types for which a ...
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Recurrent Neural Networks for Word Alignment Model
... word alignment model based on a recurrent neural net- work (RNN), in which an unlimited alignment history is represented by re- currently connected hidden ...Our alignment model is ...
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Improving IBM Word Alignment Model 1
... IBM Model 1 (Brown et al., 1993a) is a word- alignment model that is widely used in working with parallel bilingual ...of Model 1 are segmenting long sentences into subsentental units for ...
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Mining Words and Targets Using Alignment Model
... word alignment model is usually trained in a completely unsupervised manner, which may not obtain precise alignment ...improve alignment performance, perform a partial supervision on the ...
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Improved Sentence Alignment on Parallel Web Pages Using a Stochastic Tree Alignment Model
... 3 The Stochastic T ree Alignment Model The structure of the HTML document is recursive, with HTML markup tags embedded within other markup tags. While converting an HTML docu- ment into the tree ...
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Interest Alignment Model in the Higher Education System
... Under current conditions, the sustainable development of any economic entity is determined by the ability to build mutually beneficial cooperation with numerous stakeholders. The term “stakeholder” was first introduced ...
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Bayesian Subtree Alignment Model based on Dependency Trees
... sequential alignment models work well for similar language pairs, but they are quite inadequate for distant language ...subtree alignment model that in- corporates dependency relations be- tween ...
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An Unsupervised Alignment Model for Sequence Labeling: Application to Name Transliteration
... sequence alignment model is proposed for name transliteration ...the model. Using this model, we achieve improvements on the transliteration accuracy in comparison with the state-of-the-art ...
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Statistical Phrase Alignment Model Using Dependency Relation Probability
... phrase alignment method which models word or phrase dependency relations in depen- dency tree structures of source and target lan- ...relation model is a kind of tree-based reordering model, and can ...
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A Tightly coupled Unsupervised Clustering and Bilingual Alignment Model for Transliteration
... generative model able to both cluster and align simultaneous- ...Mixture Model (cDPMM) integrates a Dirichlet process mixture model (DPMM) (Antoniak, 1974) and a Bayesian Bilingual Alignment ...
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A Discriminative Alignment Model for Abbreviation Recognition
... ment model for extracting abbreviations and their full forms appearing in actual ...sequential alignment problem, which finds the optimal align- ment (origins of abbreviation letters) be- tween two strings ...
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A Phrase Based Alignment Model for Natural Language Inference
... an alignment sys- tem expressly designed for ...the alignment component of the Stanford RTE system (Chambers et ...based alignment representation, along with a richer set of features for ...
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A Robust Cross Style Bilingual Sentences Alignment Model
... The second case shows an example of “Length&Lexicon-Type Error”, in which the source sentence (E1) is erroneously deleted and results in an erroneous alignment [E1: Delete] and [E2 : C1]. (The correct ...
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Using and validating the strategic alignment model
... analysing alignment in small firms, Hussain et al. (2002) concur that alignment is used to mean a variety of ...(1989) model, either the process or the ...achieve alignment with a social ...
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Using Features from a Bilingual Alignment Model in Transliteration Mining
... Test pairs are a randomly sampled subset.. Michael Jackson ....[r] ...
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Improved Word Alignment Using a Symmetric Lexicon Model
... HMM-based alignment model was introduced in (Vogel et ...article Model 6 is introduced as the loglinear interpolation of the other ...probability model P r(a ...
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Sampling Alignment Structure under a Bayesian Translation Model
... Fixed word alignments are used in virtually ev- ery statistical machine translation system, if not to extract phrase pairs or rules directly, then at least to constrain the inference procedure for higher-level models. We ...
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Discriminative Word Alignment with a Function Word Reordering Model
... correct alignment points. Predicting the alignment for this particular Chinese- English sentence pair is challenging, since the sig- nificantly different syntactic structures of these two languages lead to ...
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