[PDF] Top 20 Optimized Online Rank Learning for Machine Translation
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Optimized Online Rank Learning for Machine Translation
... for more accurate corpus-BLEU is addressed by optimally scaling parameter updates in the spirit of a passive-aggressive algorithm (Crammer et al., 2006). The derived algorithm is very similar to MIRA, but differs in that ... See full document
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Learning from Post Editing: Online Model Adaptation for Statistical Machine Translation
... Casting machine translation for post-editing as an online learning task, we have presented three methods for incremental model adaptation: adding data to the indexed bitext from which gram- ... See full document
10
Demonstration of a Neural Machine Translation System with Online Learning for Translators
... The OL paradigm has quickly attracted the at- tention of researchers and industry. The Cas- MaCat (Alabau et al., 2013) and MateCat (Fed- erico et al., 2014) projects—where phrase-based statistical MT systems were ... See full document
5
Optimized Name Entity Recognition of Machine Translation
... active learning technique based on the context patterns generated from an unlabelled news corpus and the other based on the well-known Support Vector Machine have been ... See full document
9
A Coactive Learning View of Online Structured Prediction in Statistical Machine Translation
... via online structured prediction (see Liang et ...teractive learning from user post-edits (see Cesa- Bianchi et ...computer-assisted translation). Online learn- ing algorithms can be given a ... See full document
11
Top Rank Enhanced Listwise Optimization for Statistical Machine Translation
... listwise learning framework for tuning translation systems that uses two listwise ranking objectives originally developed for IR, ListNet (Cao et ... See full document
10
Online Word Alignment for Online Adaptive Machine Translation
... for learning the align- ment moves makes this approach only applicable for a limited number of language pairs for which manual aligned gold references are ... See full document
9
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... a learning framework for ranking translations in parallel settings, given representations of transla- tion outputs and a reference ...the machine-generated translation as well, by using pre-trained ... See full document
9
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
... Learning from Post-Editing: Online Model Adaptation for Statistical Machine Translation Michael Denkowski, Chris Dyer and Alon Lavie.. Predicting and Characterising User Impact on Twitte[r] ... See full document
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Learning to Rank Answers on Large Online QA Collections
... In the QA literature, answer ranking for non- factoid questions has typically been performed by learning question-to-answer transformations, either using translation models (Berger et al., 2000; Sori- cut ... See full document
9
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
... Our corpus consists of 350,000 aligned Spanish- English sentence pairs taken from published computer software manuals and online help documents. We extracted 200,000 English sentences for building language models ... See full document
8
Online Learning for Interactive Statistical Machine Translation
... the online IMT systems (95% confidence intervals are ...first translation hypothesis produced by the IMT system for each source ...average online learning time (LT) for each new sample ... See full document
9
Online Learning for Statistical Machine Translation
... and translation models is ...an online learning technique, since the proposed cache components require pre-existent models estimated in batch ...(average learning times per sentence of up to 1 ... See full document
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Optimization Strategies for Online Large Margin Learning in Machine Translation
... Statistical machine translation (SMT) systems rep- resent knowledge sources in the form of features, and rely on parameters, or weights, on each feature, to score alternative ...to online linear ... See full document
10
An Interactive Machine Translation System with Online Learning
... of online learning as one possible way to successfully incorporate user feedback in IMT systems (Ortiz- Mart´ınez et ...the online learning setting, models are trained sample by ...such ... See full document
6
Transductive learning for statistical machine translation
... the translation direction p(s | t), (b) one or several n-gram language model(s) trained with the SRILM toolkit (Stolcke, 2002); in the experi- ments reported here, we used 4-gram models on the NIST data, and a ... See full document
8
Online Multitask Learning for Machine Translation Quality Estimation
... Multitask learning (MTL) aims to simultane- ously learn models for a set of possibly related tasks by exploiting their ...(single-task learning – ...different translation jobs, together with their ... See full document
10
Machine Learning for Hybrid Machine Translation
... candidate translation is aligned to the translation template that has been produced by the Lucy RBMT ...any translation system, regardless of whether this system provides us with a source-to- target ... See full document
5
Lifetime Achievement Award: Translating Today into Tomorrow
... There is an ancient story in China called “愚 公 移 山 ” [Yugong moves the mountain]. In the story, an old man called Yugong—meaning an unwise man—lived in a mountain area. He decided to build a road to the outside world by ... See full document
10
Online Learning in the Embedded Manifold of Low-rank Matrices
... the learning curves. Interestingly, for both L ORETA algorithms learning a low-rank model of rank 30, using the best 16660 features, was significantly more precise than learning a much ... See full document
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