[PDF] Top 20 Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
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Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
... a discriminative reranking algo- rithm using perceptron which successfully exploits syntactic features for N-best reranking for common translation tasks (Carter and Monz, ...ical error ... See full document
6
Factored Statistical Machine Translation for Grammatical Error Correction
... on grammatical error correction ...possible error types in a real-life environment, we propose a factored statistical machine translation (SMT) model for this ...consider ... See full document
8
The AMU System in the CoNLL 2014 Shared Task: Grammatical Error Correction by Data Intensive and Feature Rich Statistical Machine Translation
... tistical machine translation (SMT) for the task of grammatical error ...five error types, the CoNLL-2014 Shared Task (Ng et ...28 error types present in NUCLE (Dahlmeier et ...of ... See full document
9
Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase based Statistical Machine Translation
... For future research, we will attempt to expand the corpus further. A possible direction in build- ing a large-scale parallel corpus is to introduce errors artificially to correct sentences. This has already been applied ... See full document
6
Constrained Grammatical Error Correction using Statistical Machine Translation
... Following previous approaches, we decided to in- crease the size of our training set by introducing new sentences containing artificial errors. This has many potential advantages. First, it is an eco- nomic and efficient ... See full document
10
Improving Grammatical Error Correction via Pre Training a Copy Augmented Architecture with Unlabeled Data
... classification, statistical machine translation (SMT), and neural machine translation (NMT) based systems were built for the GEC ... See full document
10
Connecting the Dots: Towards Human Level Grammatical Error Correction
... Grammatical error correction (GEC) is the task of correcting various textual errors includ- ing spelling, grammar, and collocation ...phrase-based statistical machine translation ... See full document
7
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking
... edited error templates (short phrases with one ...editing error templates manually, Cheng et al. (2008) proposed an automatic error template generation ... See full document
5
Near Human Level Performance in Grammatical Error Correction with Hybrid Machine Translation
... the statistical and neural ...unique correction (is change → has changed), but it fails in generating some corrections from the neural system, ...local correction made by the SMT system (is ... See full document
7
Systematically Adapting Machine Translation for Grammatical Error Correction
... to grammatical error correc- tion developed rule-based systems or classifiers targeting specific error types such as prepositions or determiners, ...in machine translation, though some ... See full document
12
Discriminative Reranking for Spelling Correction
... years, statistical machine learning also makes contributions to spelling correction ...introduces error in the ...the discriminative models, Winnow [8], neural net [10] and maximum ... See full document
8
Grammatical Error Correction: Machine Translation and Classifiers
... In addition, Susanto et al. (2014) made an at- tempt at combining MT and classifiers. They used CoNLL-train and Lang-8 as non-native data and English Wikipedia as native data. We be- lieve that the reason this study did ... See full document
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A Discriminative Latent Variable Model for Statistical Machine Translation
... ing discriminative models require a reference deriva- tion to optimise against, however no parallel cor- pora annotated for derivations ...all discriminative models proposed to date either side-step the ... See full document
9
A Discriminative Approach for Dependency Based Statistical Machine Translation
... transformation is factorized into a series of mini- transformations, which we address as features of the transformation. The features denote the vari- ous linguistic modifications in the source structure to obtain the ... See full document
9
Discriminative Language Models as a Tool for Machine Translation Error Analysis
... regularized discriminative LMs to solve the above problem. Discriminative LMs are LMs trained to fix common output errors of a particular ...of error analysis, if we train a discriminative LM ... See full document
9
CUNI LMU Submissions in WMT2016: Chimera Constrained and Beaten
... Jan-Thorsten Peter, Tamer Alkhouli, Matthias Huck Hermann Ney, Fabienne Braune, Alexander Fraser, Aleˇs Tamchyna, Ondˇrej Bojar, Barry Haddow, Rico Sennrich, Fr´ed´eric Blain, Lucia Specia, Jan Niehues, Alex Waibel, ... See full document
6
Error Analysis of Statistical Machine Translation Output
... speech translation system that can deal with real life ...three translation directions: Spanish to English, English to Spanish and Chinese to ...text-to-text translation methods can be ... See full document
6
Discriminative Feature Tied Mixture Modeling for Statistical Machine Translation
... phrase translation probabilities, lexical probabilities, number of phrases, and language model scores, ...imum error rate training (MERT) as in (Och, ...alternative discriminative training methods ... See full document
5
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... As specific MT method, we use the alignment tem- plate approach (Och et al., 1999). The key elements of this approach are the alignment templates, which are pairs of source and target language phrases to- gether with an ... See full document
8
Grammatical Machine Translation
... multi-word translation units from phrase- based SMT into a transfer system for dependency structure ...The statistical components of our system are modeled on the phrase-based sys- tem of Koehn et ... See full document
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