[PDF] Top 20 Can Neural Machine Translation be Improved with User Feedback?
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Can Neural Machine Translation be Improved with User Feedback?
... In our experiments, learning from feedback starts from a pre-trained English to Spanish NMT model that has not seen in-domain data (i.e., no product title translations). The NMT base- line model (BL) is a standard ... See full document
14
Improved Zero shot Neural Machine Translation via Ignoring Spurious Correlations
... Generating the synthetic corpus requires at least a reasonable starting point that translates on zero- shot pairs which can be chosen either through a pivot language (denoted as BTTP) or the cur- rent zero-shot ... See full document
11
Improved Neural Machine Translation with a Syntax Aware Encoder and Decoder
... of translation, these mechanisms work at the word level and cannot capture phrasal cohe- sion between the two languages (Fox, 2002; Kim et ...decoder can generate the translation more in line with ... See full document
10
Supervised neural machine translation based on data augmentation and improved training & inference process
... This is the second time for SRCB to participate in WAT. This paper describes the neural machine translation systems for the shared translation tasks of WAT 2019. We participated in ASPEC tasks ... See full document
5
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...end-to-end neural network ... See full document
7
Tensor2Tensor for Neural Machine Translation
... convolutional neural machine translation without this bottleneck was first achieved in Kaiser and Bengio (2016) and Kalchbrenner et ...(Extended Neural GPU) used a recurrent stack of gated ... See full document
7
Learning from Chunk based Feedback in Neural Machine Translation
... Integrating user ratings in NMT has been stud- ied in (Kreutzer et ...the user feedback can be integrated into NMT training and perform a series of experiments using GLEU (Wu et ...variance ... See full document
6
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... word can be translated to feminine or masculine and the proper translation has to be derived from ...the translation sys- tem is gender biased, the context is disregarded, while if the system is ... See full document
8
Boosting Neural Machine Translation
... ral Machine Translation (NMT), translation quali- ty has been improved significantly compared with traditional statistical based method (Bahdanau et ...the translation accept- able ... See full document
6
Iterative Back Translation for Neural Machine Translation
... back translation process in 2- 3 times can lead to improved ...this can be different in other language pairs and ...in translation perfor- ... See full document
7
Continuous Adaptation to User Feedback for Statistical Machine Translation
... between the SMT system output and various sets of references. This score reveals the number of edits performed by the translator in order to obtain a suit- able translation. The first column indicates the day of ... See full document
5
Three Types of Episodic Associations for the Semantic/Syntactic/Episodic Model of Language Prospective in Applications to the Statistical Translation
... semantic/syntactic/episodic neural model of language, prospectively to help and improve the statistical ...statistical translation, so as to help determine the episodic associations of some prepositions or ... See full document
12
User expectations towards machine translation: A case study
... Neural machine translation (NMT) sys- tems have emerged as powerful platforms for providing fluent translations in a vari- ety of languages and ...of machine translation has been ... See full document
7
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
... human feedback to optimize a machine translation system, in a setting where one can collect expert feedback as well as a setting in which one only collects non-expert ...expert ... See full document
11
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... Human-Informed Translation and Interpreting Technology (HiT-IT 2019) took place in Varna, Bulgaria and spanned over two days (5-6 September 2019), as a post-RANLP 2019 conference ... See full document
10
UCSYNLP Lab Machine Translation Systems for WAT 2019
... For Myanmar syllable-based neural machine translation model, "sylbreak" is used to segment the Myanmar sentence into syllable level. Syllable segmentation is an important preprocess for many ... See full document
5
Generalizing Back Translation in Neural Machine Translation
... English translation task, which allows us to directly compare the properties of synthetic and natural ...of translation quality, these do not result in consistent improvements over the typical beam search ... See full document
8
Combining Translation Memory with Neural Machine Translation
... overall translation accuracy of each NMT system and production system on the concatenated data ...this can be that Marian as an over-trained model translates better on the ... See full document
8
Incorporating Discrete Translation Lexicons into Neural Machine Translation
... correct translation while the normal at- tentional model was ...mistakes can then af- fect the process of choosing the remaining words, propagating the error through the whole ... See full document
11
Graph Based Translation Memory for Neural Machine Translation
... the translation results of P-TFM and G- TFM ...model can deliver al- most absolutely correct translations when a extremely simi- lar translation memory is ...the translation task where the TM ... See full document
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