[PDF] Top 20 Sentential Paraphrasing as Black Box Machine Translation
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Sentential Paraphrasing as Black Box Machine Translation
... provide machine translation language packs: prepack- aged, tuned models that can be downloaded and used to generate paraphrases on a standard Unix ...a black box or customized to spe- cific ... See full document
5
Filling Gender & Number Gaps in Neural Machine Translation with Black box Context Injection
... does, translation systems must “guess” this missing information, often leading to incor- rect translations in the given ...a black-box approach for injecting the missing information to a pre-trained ... See full document
6
A Comparison of Machine Translation Paradigms for Use in Black Box Fuzzy Match Repair
... a black-box system) would be to always provide the MT system with access to the full context surround- ing or preceding the segment to be translated, which it could use as a better starting state to ... See full document
7
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text to Text Generation
... by paraphrasing rather than deletion, the commonly used deletion-based com- pression data sets like the Ziff-Davis corpus are not ...for machine transla- tion evaluation, we construct a parallel compression ... See full document
12
Improving translation memory fuzzy matching by paraphrasing
... are machine translated in the target language using a MT system (Smith and Clark, 2009; Koehn and Senellart, 2010; He at al, 2010a; Zhechev and van Genabith, 2010; Wang et ... See full document
7
Black box integration of heterogeneous bilingual resources into an interactive translation system
... be friendly, the value of M should be kept small and, as a result of this, it could easily occur that all the suggestions offered are obtained starting at the same source position (that closest to the current target ... See full document
9
Example Based Paraphrasing for Improved Phrase Based Statistical Machine Translation
... Statistical Machine Translation, which require external data in the form of additional parallel bilingual corpora (Callison-Burch et ...or sentential paraphrases of the input (Schroeder et ...that ... See full document
11
Improving Translation via Targeted Paraphrasing
... cost translation: sharing the burden of the translation task among a fully automatic system and monolingual human participants, without requiring human bilingual ...sub- sentential paraphrases in ... See full document
11
PARABANK: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-Constrained Neural Machine Translation
... through machine translation. This ap- proach trains a neural machine translation (NMT) model from a non-English source language to English over the en- tire bitext (Czech-English) (Bojar et ... See full document
8
Paraphrasing Revisited with Neural Machine Translation
... 4 translation agencies; we sampled 1,000 sen- tences for training and testing, respectively (each source sentence had an average of 4 paraphrases); (b) the Jules Vernes Twenty Thousand Leagues Under the Sea novel ... See full document
13
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... five translation tasks: Machine Translation of News, Machine Translation of IT domain, Biomedical Translation, Multimodal Machine Translation, and Cross-lingual ... See full document
28
Black-Box Non-Black-Box Zero Knowledge
... The Black-box non-black-box question. The NBB simulation paradigm of Barak has signifi- cantly influenced the landscape of cryptographic protocols as it yields results that are impossible via ... See full document
73
Using realist evaluation to open the black box of knowledge translation: a state-of-the-art review
... Given the challenges associated with the identification of contextual factors, underlying mechanisms and potential mechanisms in the articulation of program theory, coupled with a relative lack of guidance with regard to ... See full document
14
Unsupervised Paraphrasing without Translation
... supervised translation (parallel bilin- gual data is used), unsupervised translation (non- parallel corpora in two languages are used) and monolingual (only unlabeled data in the para- phrasing language is ... See full document
7
Opening the black box: interpretable machine learning for geneticists
... iml: interpreta ble ML [16] Probing, perturbing Model agnostic Global, Local Toolbox for implementing multiple interpretation methods. R package iNNvesti gate [56][r] ... See full document
26
Paraphrasing Out of Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation
... The scarceness of parallel corpora makes the coverage of the translation model low, which leads to high out-of- vocabulary (OOV) word rates when conducting translation (Callison-Burch et al., 2006). Even we ... See full document
5
Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT
... Machine translation (MT) draws from several different disciplines, making it a complex sub- ject to teach. There are excellent pedagogical texts, but problems in MT and current algo- rithms for solving them ... See full document
14
Can Translation Memories afford not to use paraphrasing?
... Our evaluation answers the two questions previ- ously raised. We conclude that paraphrasing sig- nificantly improves retrieval. We observe more than 30% and 43% improvement for the threshold intervals [85, 100) and ... See full document
8
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... for translation is much larger than one ...repetitive translation and improvements by human annotators and translators contribute significantly to any MT ... See full document
8
Black box
... experiences. Black Box provokes these questions by acting as a warning of the public’s increasing desensitization to violence due to the exposure of visual and aural media and presenting the media’s ... See full document
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