[PDF] Top 20 An Approach to Sentence Level Anaphora in Machine Translation

... The MiMo formalism is a re- action to the CAT framework and tries to solve several translation problems by formulating an alternative defini- tion of compositionality.. Phenomena involvi[r] ... See full document

... statistical machine translation is often reduced by the complexity to construct ...statistical machine translation, namely: the size of the phrase translation table, the use of ... See full document

... novel approach using recurrent neural networks for estimating the quality of machine translation ...networks approach achieves a performance comparable to the existing state- of-the-art models ... See full document

... A PRAGMATIC APPROACH TO MACHINE TRANSLATION FROM CHINESE TO ENGLISH A PRAGMATIC APPROACH TO MACHINE TRANSLATION FROM CHINESE TO ENGLISH Ching Yi Dougherty Herill College University of California Calif[.] ... See full document

... This paper describes a two-phase method for expanding abbreviations found in in- formal text (e.g., email, text messages, chat room conversations) using a machine translation system trained at the charac- ... See full document

... a machine, which understands diverse languages spoken by the common ..., sentence in English is translated in to sanskrit using rule based approach and from sanskrit it is easier to transform in to ... See full document

... neural machine translation (NMT) approaches achieve state-of-the-art accu- racy in high-resource ...each sentence at inference ...test sentence, its parameters are fine-tuned over a subset of ... See full document

... spoken sentence is obviously a knowledge-intensive process, which must take into account all variable information about the speech communication process, from acoustics to semantics and ...based approach ... See full document

... (particularly the ones following the phrase-based approach) since they treat the generation process in a rather shallow way. Most often language models are used within the MT systems in order to optimize the ... See full document

... Our approach runs a classifier trained only on source language features to decide which system should translate each sentence in the test set, which means that each sentence goes through one MT ... See full document

... Anaphora Resolution A Multi Strategy Approach Anaphora Resolution A Multi Strategy Approach J a i m e G Carbonell R a l f D B r o w n Computer Science Department & Center for Machine Translation Carne[.] ... See full document

... based machine translation modified with a dissim- ilarity component for the task of sentence simplifi- ...their approach outperforms a PBMT approach in terms of Flesch Reading Ease test ... See full document

... However, our curriculum learning approach does not affect performance in this setting. Figure 2 shows that the context-aware baseline achieves 57% challenge set accuracy and the curriculum learning approach ... See full document

... For model adaptation, several PBSMT models, such as language models, translation models and reordering models, individually corresponding to each corpus, are trained. These models are then combined to achieve the ... See full document

... Our approach also differs by being symmetrical over source and reference sentences, however it is not clear whether this would improve perfor- ...5.3 Sentence length ... See full document

... use machine translation for document translation or summary transla- ...current machine translation services are far from satisfactory, which re- sults in that the quality of the ... See full document

... our approach and Serban et ...intra- sentence contexts, while they only have one pa- rameter matrix to manage the single representa- tion that encodes both contexts; 2) based on the intuition that not every ... See full document

... [1]. Machine translation is the application of computers to the task of translating text and speech from one to another human language [2] such as from Afaan Oromo to English or vice ...[7]. Machine ... See full document

... How to learn a good set of parameters is another challenge for nowadays deep neural networks. There has been some work in the field of NMT. Shen et al. (2015) propose to use task specific optimization function. ... See full document

... (the level of the least common abstraction in the thesaurus of two words) by N (the height of the thesaurus) accord- ing to equation (3) (Sumita and Iida, ... See full document