[PDF] Top 20 One Model to Learn Both: Zero Pronoun Prediction and Translation
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One Model to Learn Both: Zero Pronoun Prediction and Translation
... ZP Prediction”) model (Wang et al., 2018a) while fixed by our model and failed to be ....” model performs better than the “E XTE .” model because two ZP positions are syntactically ... See full document
10
Improving Pronoun Translation by Modeling Coreference Uncertainty
... tain translation divergencies, such as those concerning the English pronoun it when translated into gendered languages, ...machine translation system using anaphora resolution has so far been able to ... See full document
9
Zero Resource Translation with Multi Lingual Neural Machine Translation
... direct one-to-one translation of the zero- resource pair was considered (see (c) in Table ...to learn from pseudo-parallel pairs as they better reflect the inductive bias of the trained ... See full document
10
Neural Machine Translation via Binary Code Prediction
... proposed model mostly learns characteristics for frequent words and can- not obtain enough opportunities to learn for rare ...hybrid model using both softmax prediction and binary code ... See full document
11
One Sentence One Model for Neural Machine Translation
... machine translation (NMT) becomes a new state of the art and achieves promising translation performance using a simple encoder-decoder neural ...the translation performance, especially when highly ... See full document
8
A Novel Approach to Dropped Pronoun Translation
... DP prediction, which em- ploys a multilayer perceptron with rich fea- ...our translation system to recall missing pronouns by both extracting rules from the DP-labelled training data and translating ... See full document
11
Pronoun Language Model and Grammatical Heuristics for Aiding Pronoun Prediction
... a translation of it with the same gender and number, we examine in this section some parameters of the learned ...respective pronoun after 1 or 2 or 3 or 4 masculine singular nouns (bars from left to right ... See full document
7
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution
... Chinese zero pronoun resolution learn semantic in- formation for zero pronoun and candidate antecedents, but tend to be short-sighted— they often make local ...the zero ... See full document
10
Chinese Zero Pronoun Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers
... on learn- ing a model for resolving overt pronouns that are ...our model: if we were given a corpus in which many ZPs occur as grammatical objects, we could sim- ilarly train another model on ... See full document
12
Chinese Zero Pronoun Resolution with Deep Neural Networks
... network), one may wonder whether the small though statistically significant improvements in these results provide sufficient justification for going back to supervised learning from the previous state-of-the-art ... See full document
11
Chinese Zero Pronoun Resolution with Deep Memory Network
... to model syntactic ...ranking model to rank the ...probabilistic model, utilizing a salience model to capture discourse ...to learn useful task-specific rep- resentations and ... See full document
10
Chinese Zero Pronoun Resolution: Some Recent Advances
... intervening candidates. Each instance is represented by the 26 features employed by Z&N. A brief de- scription of these features can be found in Table 2. During testing, we adopt the closest-first resolution ... See full document
6
Pronoun Translation and Prediction with or without Coreference Links
... a translation and a language model trained with no additional resources other than the official data provided by the shared task organizers (including Europarl, News Commen- tary and Ted ...Automatic ... See full document
7
Baseline Models for Pronoun Prediction and Pronoun Aware Translation
... that both augmented models improve the overall F1 scores mainly due to an increase in pre- ...The model that includes target language words linked to determiners performs best at least according to our ... See full document
7
It disambiguation and source aware language models for cross lingual pronoun prediction
... on pronoun translation, in which a com- plete machine translation pipeline is provided, has also considered different functions of the pronoun ...to-Czech translation: referential it, ... See full document
8
Chinese Zero Pronoun Resolution: A Joint Unsupervised Discourse Aware Model Rivaling State of the Art Resolvers
... unsupervised model is motivated by a key question: can we resolve AZPs by using a probabilistic model trained on zero pronouns in an unsupervised manner? As mentioned above, the CN14 model was ... See full document
7
Pronoun Focused MT and Cross Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation
... on pronoun translation fo- cused exclusively on agreement in the target lan- guage (Le Nagard and Koehn, 2010; Hardmeier and Federico, ...is one of the main issues with pronoun ... See full document
16
A Document Level SMT System with Integrated Pronoun Prediction
... of pronoun translation accuracy, our model ends up in the middle field of the partici- pants with rank 4 out of 7 (including the ...masculine pronoun il seems to suffer from serious ... See full document
6
Dialogue focus tracking for zero pronoun resolution
... A central principle of document cohesion that under- lies frameworks such as Centering Theory (Grosz et al., 1995) states that discourses tend to settle on a particular focus for a time, before eventually switch- ing to ... See full document
10
Pronoun Prediction with Latent Anaphora Resolution
... language model of important morpho- logical information about the context words, in par- ticular about their ...source pronoun would be entirely sufficient to supply the required information for the source ... See full document
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