[PDF] Top 20 User expectations towards machine translation: A case study
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User expectations towards machine translation: A case study
... quality expectations and ex- pected errors when using an MT system for two different ...their expectations towards the quality of the re- lated MT output utilizing a five-point grade sys- tem ... See full document
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Revisiting Low Resource Neural Machine Translation: A Case Study
... Subword representations such as BPE (Sennrich et al., 2016c) have become a popular choice to achieve open-vocabulary translation. BPE has one hyperparameter, the number of merge operations, which determines the ... See full document
11
A Comparative Study of Machine Translation and Human Translation—A Case Study of Kingsoft Powerword
... Apparently MT system fails in the procedure of NER. In the translation of people’s name, MT system doesn’t take “Milo Croton” as a whole, but divides it into two parts to translate. Thus the output doesn’t appear ... See full document
5
What Makes Word level Neural Machine Translation Hard: A Case Study on English German Translation
... of machine translation, traditional methods depend on a careful design of useful features obtained by analyzing linguistic properties of the translation ...complex translation system. By ... See full document
10
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
... a case study in counter- factual learning for SMT that shows that pol- icy optimization from deterministic bandit logs is possible despite these seemingly contradic- tory theoretical ...standard case ... See full document
11
Comparing Machine Translation and Human Translation: A Case Study
... in translation quality assessment (TQA), how- ever, and large-scale projects on MT tend to have some participation of TS ...volume Machine Translation and Translation Theory, (Hauenschild and ... See full document
8
Machine Translation in the Financial Services Industry: A Case Study
... a translation company on its own and was recently merged into Welocalize to become its FSI- specialized translation ...the translation of financial, tax and legal ...the translation industry, ... See full document
7
An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output
... and user expectations, which appear to be remarkably far from the controlled environ- ments (Callison-Burch et ...asset towards the development of user-centered, adaptive machine ... See full document
6
Phonetic Normalization for Machine Translation of User Generated Content
... Further study is needed to assess whether our proposed normalization pipeline can correct phonetic-related errors on UGC for other languages and other difficult UGC scenarios, such as video-games chat logs ... See full document
10
Human Evaluation of Neural Machine Translation: The Case of Deep Learning
... It is important to note that these typologies were established before the creation of NMT, and it could therefore be argued that they concentrate mostly on features for which more recent MT systems are not likely to ... See full document
11
A Study of Style in Machine Translation: Controlling the Formality of Machine Translation Output
... no translation hy- potheses with diverse formality, so the FSMT sys- tem dropped necessary words, appended inessen- tial words, or selected improper or even incorrect words to fit the target formality ...the ... See full document
6
Continuous Adaptation to User Feedback for Statistical Machine Translation
... First of all, we can notice that the use of CSLM significantly decrease the TER scores for all trans- lators. We can also remark that the third translator has a much higher TER than the two other trans- lators during the ... See full document
5
Can Neural Machine Translation be Improved with User Feedback?
... a user with the e-commerce platform in the follow- ing way: When a user enters a query in Spanish, it is first translated to English (query translation), then a search engine retrieves a list of ... See full document
14
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
... We have carried out experimentation using two different sentence CMs. Varying the value of the sentence classification threshold, we can range from a fully automatic SMT system to a conven- tional IMT system. Empirical ... See full document
5
Towards Robust Neural Machine Translation
... by Kim (2014) to address the variable-length prob- lem of the sequence generated by the encoder. In the CNN discriminator, the filter windows are set to 3, 4, 5 and rectified linear units are applied af- ter convolution ... See full document
11
An efficient and user-friendly tool for machine translation quality estimation
... Q U E ST has recently been benchmarked on a number of datasets (Shah et al., 2013b; Shah et al., 2013a). To make this paper self-contained, we provide exper- iments with models trained offline which are already available ... See full document
5
An Interactive Translation Support Facility for Non Professional Users
... The method, combining dictionary lookup function and user-guided stepwise interactive machine translation, allows the user to obtain clear result with an easy operation.. We implemented [r] ... See full document
8
Generating Case Markers in Machine Translation
... and case markers is an impor- tant component technology for machine transla- tion ...Statistical machine translation (SMT) systems, however, have not yet successfully in- corporated components ... See full document
8
Learning to translate with products of novices: a suite of open ended challenge problems for teaching MT
... We conceived of the assignment as one in which stu- dents could apply machine learning or feature engi- neering to the task of reranking the systems, so we provided several tools. The first of these, learn, was a ... See full document
14
Towards Neural Machine Translation with Partially Aligned Corpora
... To use these partially aligned sentences, the training method should be different from the orig- inal methods which are designed for parallel cor- pora. In this work, we adapt the conventional NMT training method mainly ... See full document
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