[PDF] Top 20 Beyond Prefix Based Interactive Translation Prediction
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Beyond Prefix Based Interactive Translation Prediction
... As we allowed the simulated user to validate more words, the amount of words to be corrected (WSR) decreased dramatically. For example, we obtained a 10% relative reduction in WSR when we allowed the user to validate a ... See full document
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Adaptive Language and Translation Models for Interactive Machine Translation
... Cache-based language models were introduced by Kuhn and de Mori (1990) for the dynamic adap- tation of speech language models. These models, inspired by the memory caches on modern com- puter architectures, are ... See full document
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Models and Inference for Prefix Constrained Machine Translation
... We apply phrase-based and neural models to a core task in interactive machine trans- lation: suggesting how to complete a par- tial translation. For the phrase-based sys- tem, we demonstrate ... See full document
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Statistical Phrase Based Models for Interactive Computer Assisted Translation
... lar translation results for the tasks described in this article (Tom´as and Casacuberta, ...a prefix that cannot be obtained in a monotone way from the source, the search algorithm is not able to com- plete ... See full document
7
Interactive Predictive Translation Based on Multiple Word Segments
... machine translation systems require human revision to produce high-quality ...an interactive hu- man–computer ...the prefix of the translation is iteratively increased by successive ... See full document
10
INMT: Interactive Neural Machine Translation Prediction
... chine beyond the initial gist. Interactive Trans- lation started off with TransType (Langlais et ...phrase based suggestions, which led to creation of tools such as CASMACAT (Alabau et ...assisted ... See full document
6
Interactive Machine Translation using Hierarchical Translation Models
... any interactive environment, performing a full search each time the user validates a new prefix is ...the translation must be carried out only once, and the generated represen- tation can be reused ... See full document
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Interactive Machine Translation Based on Partial Statistical Phrase-based Alignments
... Machine Translation (MT) sys- tems are still far from being ...so-called Interactive Machine Transla- tion (IMT) ...is based on the generation of partial alignments at ...user prefix and then ... See full document
7
Lightweight Word Level Confidence Estimation for Neural Interactive Translation Prediction
... for interactive translation prediction is that each human interaction in the interactive trans- lation prediction setting provides a gold-standard “OK”/“BAD” label for a token, such ... See full document
6
Interactive Predictive Machine Translation based on Syntactic Constraints of Prefix
... validated prefix is “the designated ...the prefix (see the alignment by solid line), then the hypothesis will form a complete subtree transla- tion (circled by dashed ...the prefix, then an error ... See full document
10
Refinements to Interactive Translation Prediction Based on Search Graphs
... Our implementation of the core algorithm follows closely Koehn (2009). It is a dynamic program- ming solution that computes the minimal cost to reach each node in the search graph by matching parts of the user ... See full document
5
The polysemy of an empty prefix : a corpus-based cognitive semantic analysis of the Russian verbal prefix po-
... of earlier works. The structuralist approach presents prefixal meanings as highly abstract, often in terms of the presence/absence of (or un/markedness for) binary features. This abstraction is a mechanism intended to ... See full document
222
Recognizing Chinese Number and Quantifier Prefix to Enhance Statistical Parser in Machine Translation
... tree based SMT and dependency tree based ...tree based SMT can be divided into “tree to string”, “string to tree”, “string to string”, and “tree to tree” ... See full document
8
Keynote: Machine Translation Beyond the Sentence
... Should training for the single sentence be expected to produce good results for this case?.. Can evaluation of single sentence translations be a good proxy for user satisfaction?.[r] ... See full document
43
Active Learning for Interactive Neural Machine Translation of Data Streams
... All these works were based on SMT systems. However, the recently introduced NMT paradigm (Sutskever et al., 2014; Bahdanau et al., 2015) has irrupted as the current state-of-the-art for MT (Bo- jar et al., 2017). ... See full document
10
Distilling Knowledge for Search based Structured Prediction
... As we can see in Section 4, ensemble indeed im- proves the performance of baseline models. How- ever, real world deployment is usually constrained by computation and memory resources. Ensemble requires running the ... See full document
10
Interactive Attention for Neural Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan ... See full document
12
Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text to Text Generation
... pus of reference compressions. Since our model is designed to compress by paraphrasing rather than deletion, the commonly used deletion-based com- pression data sets like the Ziff-Davis corpus are not suitable. We ... See full document
12
Chinese English Term Translation Mining Based on Semantic Prediction
... the translation estima- tion just as in the previous work, effective Eng- lish equivalent words are seldom contained for most Chinese terms in our experiments, for ex- ample: “三国演义, 三好学生, 百慕大三角, 车牌 ...method ... See full document
8
Online Learning for Interactive Statistical Machine Translation
... log-linear combination were adjusted for the devel- opment corpora by means of the downhill-simplex algorithm. Table 2 shows the obtained results. The table shows the BLEU score and the KSMR for the batch and the online ... See full document
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