[PDF] Top 20 Alignment Model Adaptation for Domain Specific Word Alignment
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Alignment Model Adaptation for Domain Specific Word Alignment
... Word alignment was first proposed as an intermediate result of statistical machine translation (Brown et ...improve word alignment (Ker and Chang, ...of domain-specific ... See full document
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Word-Transliteration Alignment
... Multilingual named entity identification and (back) transliteration has been increasingly recognized as an important research area for many applications, including machine translation (MT), cross language in- formation ... See full document
16
Recurrent Neural Networks for Word Alignment Model
... other alignment models, ...that model and generaliza- tion errors by the two models differ, and the mod- els must complement each ...courages word embeddings to be consistent across alignment ... See full document
11
Sentiment Domain Adaptation with Multiple Sources
... SCL, domain adap- tation based on structural correspondence learn- ing (Blitzer et ...SFA, domain adap- tation based on spectral feature alignment (Pan et ...source domain sce- nario by first ... See full document
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An Improved Spectral Feature Alignment for Domain Adaptation in Sentiment Classification
... of domain, thus the sentiment classification model trained in one domain is often not applicable to the data from another ...feature alignment domain adaptation algorithm ... See full document
8
Development and Alignment of a Domain-Specific Ontology for Question Answering
... a domain-specific ontology was developed and applied for question answering in the domain of tourism, along with the assistance of two upper ontologies for concept expansion and ...tourism ... See full document
8
Online Reviews Based on the Word Alignment Model
... opinion targets or generate a sentiment word lexicon from texts. Most previous approaches adopted a collective unsupervised extraction framework. As mentioned in our first section, detecting opinion relations and ... See full document
9
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
... main adaptation in computer vision and machine learning ...the domain alignment approaches can only reduce, but not remove the domain shift, target domain samples distributed near the ... See full document
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A Discriminative Neural Model for Cross Lingual Word Alignment
... RNN model, where there is effectively only one attention ...dataset- specific patterns that do not match alignments but nevertheless provide useful cues for ...verbs) alignment is very poorly ... See full document
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Deep Generative Model for Joint Alignment and Word Representation
... their model is conditional—much like IBM models—and their embeddings are not part of the probabilistic model, but rather part of the architecture ...conditional model the representations can become ... See full document
13
Word Alignment with Synonym Regularization
... a word alignment generative ...of word sense disambiguation. Our proposed method im- proved word alignment quality with both small and large data ...in word alignment ... See full document
5
Latent Domain Word Alignment for Heterogeneous Corpora
... isting word alignment models to domain dif- ferences, which often yields suboptimal re- sults on large heterogeneous ...latent domain word alignment model is pro- posed, ... See full document
11
Essentia: Mining Domain specific Paraphrases with Word Alignment Graphs
... identify domain-specific paraphrases ...while domain-specific corpora are too small to fit sta- tistical ...on word-alignment techniques to create a word-alignment ... See full document
6
Automatic Domain Assignment for Word Sense Alignment
... WN Domain(s), was retained as ...the domain label FACTOTUM is assigned to the feature GENERIC, while the sum of all other do- main labels collapsed into the single value NOT- FACTOTUM is assigned to the ... See full document
5
A Probability Model to Improve Word Alignment
... bility model is most similar to the explicit noise model defined in (Melamed, ...two word types u and v are linked links(u, v) times in the entire cor- ...a specific co-occurrence of the ... See full document
8
Improved Word Alignment Using a Symmetric Lexicon Model
... In (Och and Ney, 2003) generalized alignments are used, thus the final Viterbi alignments of both translation directions are combined us- ing some heuristic. Experimentally, the best heuristic for the Canadian Hansards ... See full document
7
AMRICA: an AMR Inspector for Cross language Alignments
... The alignment is more difficult than in the monolingual case, since nodes in AMRs are labeled in the language of the sentence they ...Smatch alignment algorithm to account for this dif- ... See full document
5
Large scale Word Alignment Using Soft Dependency Cohesion Constraints
... large-scale word alignment quality is to introduce syntactic knowledge into a generative model and train the model in an unsupervised manner (Wu, 1997; Yamada and Knight, 2001; Lopez and ... See full document
10
Are ACT’s Scores Increasing with Better Translation Quality?
... automatic word-level align- ment (using GIZA++) between a source sentence and respectively the reference and candidate translations, along with other heuristics for comparing translations of discourse ... See full document
6
Confidence Measure for Word Alignment
... with word alignment. The qual- ity of the parallel data and the word alignment have significant impacts on the learned transla- tion models and ultimately the quality of transla- tion ...data, ... See full document
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