[PDF] Top 20 A Correction Model for Word Alignments
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A Correction Model for Word Alignments
... for word alignment, appearing, for instance, in IBM Models ...alignment model is not symmetric; interchanging source and target lan- guages results in a different ...target word to be linked to more ... See full document
10
NeurAlign: Combining Word Alignments Using Neural Networks
... different word alignments. We view word alignment as a pattern classifi- cation problem, where alignment combi- nation is treated as a classifier ensemble, and alignment links are adorned with lin- ... See full document
8
Unsupervised False Friend Disambiguation Using Contextual Word Clusters and Parallel Word Alignments
... All the mentioned studies aim to enhance SMT by identifying the appropriate target translation for a source word in a given context. Our approach is different from previous work in two aspects: First, we try to ... See full document
10
Exploring Word Embeddings for Unsupervised Textual User Generated Content Normalization
... given word is in the recognized lexicon (so it is not per se a noisy word) but is incorrect due to the context it ...language model (LM) (with trigrams) trained on a Wikipedia sample consisting of ... See full document
9
Minimum Bayes Risk Word Alignments of Bilingual Texts
... The WFST framework involves building a trans- ducer for each constituent of the IBM-3 Alignment Models: the word fertility model ; the NULL fer- tility model ; and the word translation ... See full document
8
Induction of Word and Phrase Alignments for Automatic Document Summarization
... this model, the state space and output alphabet are simply so large and complex that we were forced to first map documents down to extracts before we could process them (and even so, computation took roughly 1,000 ... See full document
26
Study and Review of Selective Spell Checking Approaches
... system correction techniquefor investigation and correcting non-word and real-world errors in digital text ...N-gram word sequences, extracted from the globe Wide ...2-gram model that ... See full document
8
Bilingual Embeddings and Word Alignments for Translation Quality Estimation
... representations, word alignments and also manual post-edits to boost the perfor- mance of the baseline QuEst++ set of ...Our model outperforms the baseline, as well as the winning system in WMT15, ... See full document
8
Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation
... the alignments and Moses (Koehn et ...the alignments but not for the PBMT ...the alignments both before and after adding the lexi- ...English word vectors ( L e ), and adding both the lexicons ... See full document
5
Unsupervised Bilingual POS Tagging with Markov Random Fields
... induction model When word alignments are monotonic ...the model of Snyder et ...Crossing alignments often correspond to systematic word order differences be- tween languages ... See full document
8
CMUQ@QALB 2014: An SMT based System for Automatic Arabic Error Correction
... translation model built on the best pre-processed data, as described ...rule-based correction, and character de-duplication are applied to both the train and dev ...based model, the last 1,000 ... See full document
6
HMM Word and Phrase Alignment for Statistical Machine Translation
... on alignments gener- ated over all available C-E bitext (the “ALL C-E” collection of Section ...language model is an equal-weight interpolated trigram model trained over 373M English words taken from ... See full document
8
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification
... and word types, 5-gram language model probabil- ities estimated on the basis of either SUBTLEX (Brysbaert and New, 2009), SubIMDB (Paet- zold and Specia, 2016b), Wikipedia, and Simple Wikipedia (Kauchak, ... See full document
7
Going Beyond AER: An Extensive Analysis of Word Alignments and Their Impact on MT
... tical word alignment systems based on different models, such as hidden Markov models (HMM) (Vogel et ...improves word alignment signif- icantly (Callison-Burch et ...on word alignments (Ayan ... See full document
8
Minimum Bayes Risk Decoding for Statistical Machine Translation
... We will show that MBR decoding can be applied to machine translation in two scenarios. Given an automatic MT metric, we design a loss function based on the met- ric and use MBR decoding to tune MT performance un- der the ... See full document
8
A Perturbative Model for the Intrinsic Alignments of Galaxies
... this model, the formation of an angular momentum axis accounts for one linear power of the tidal field, and the resulting torque on this axis accounts for the ...linear model is the dominant effect on IA in ... See full document
81
Inner Outer Bracket Models for Word Alignment using Hidden Blocks
... IBM Model-1). While the model uses a single block to split the sentence pair into two independent regions, it is not clear which block we should select for this ... See full document
8
BiTAM: Bilingual Topic AdMixture Models for Word Alignment
... translation model, generating the document F as one entity. In a BiTAM model, a document-pair (F, E) is treated as an admixture of topics, which is induced by random draws of a topic, from a pool of topics, ... See full document
8
Learning a Spelling Error Model from Search Query Logs
... Search queries present a difficult challenge for tradi- tional spelling correction algorithms. As mentioned above, dictionary-based approaches cannot be used since many search terms include words and names that ... See full document
8
A Semi Supervised Word Alignment Algorithm with Partial Manual Alignments
... N-to-1 alignments, the manual alignment is not reachable from ei- ther ...oracle alignments and force alignments of both ...oracle alignments are the performance upper-bounds of all aligners ... See full document
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