[PDF] Top 20 Towards Machine Translation Using Contextual Information
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Towards Machine Translation Using Contextual Information
... Towards Machine Translation Using Contextual Information Towards Machine ]ranslal; on U inf C, onC(,?t, m,1 hfforma,tion T i m C o r n i s h , K i m i k a z u ] " u j i t a , [ l y o c h i , ~ u g i n[.] ... See full document
6
Using Contextual Information for Machine Translation Evaluation
... linguistic information (Pad´o et ...of machine learning tech- niques (Gupta et ...human translation can be considered meaning-preserving if they contain semantically similar words and the words occur ... See full document
7
Effective Use of Linguistic and Contextual Information for Statistical Machine Translation
... The MaxEnt model in (Ittycheriah and Roukos, 2007) was optimized globally, so that it could bet- ter employ the distribution of the training data. However, one has to filter the training data ac- cording to the test data ... See full document
9
Soft Contextual Data Augmentation for Neural Machine Translation
... is contextual augmenta- tion (Kobayashi, 2018; Wu et ...predicted using language model at the corresponding word ...on contextual information, this kind of augmentation still has one ... See full document
6
Statistical Machine Translation with Scarce Resources Using Morpho syntactic Information
... statistical machine translation, correspondences between the words in the source and the target language are learned from parallel corpora, and often little or no linguistic knowledge is used to structure ... See full document
24
Towards String To Tree Neural Machine Translation
... tences using graph-convolutional networks over dependency trees; Sennrich and Haddow (2016) proposed a factored NMT approach, where each source word embedding is concatenated to em- beddings of linguistic features ... See full document
9
Using Common Sense to generate culturally contextualized Machine Translation
... First of all, this work is a joint effort of two research areas: NLP/CL (machine translation) and human-computer interaction (HCI) (common sense knowledge gathering and usage). From this fact, we see a ... See full document
8
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
Domain Specific Query Translation for Multilingual Information Access using Machine Translation Augmented With Dictionaries Mined from Wikipedia
... query translation for CLIA uses an existing MT system to provide automatic ...translation. Using MT systems for query transla- tion is widely used in CLIA when such a system is available for the ... See full document
8
Word Sense Aware Machine Translation: Including Senses as Contextual Features for Improved Translation Models
... our translation models (using all of our different methods of including the output of WSD as contextual features) over ...sense information added) and an optimal column (adding word sense ... See full document
7
Dense Information Flow for Neural Machine Translation
... we compare with (Gulcehre et al., 2015) which uses the same morphology preprocessing as our Tr-En-morph. As shown in Table 3, our baseline is higher than the previous result, and we further achieve new benchmark result ... See full document
10
Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... with translation model adap- tation by making use of the topical context, so let us take a look at the recent research developmen- t on the application of topic models in ...bilingual translation model, ... See full document
10
Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques
... proper translation has to be derived from ...the translation sys- tem is gender biased, the context is disregarded, while if the system is neutral, the translation is cor- rect (since it has the ... See full document
8
Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation
... the training, development and test corpus statistics. For the translation model training, we used 4.6M bilingual sentences. For the language model train- ing, we used 4.6M sentences which are used for the ... See full document
9
A Reinforcement Learning driven Translation Model for Search Oriented Conversational Systems
... users’ information needs in NL with keyword-based queries and includes a document collection to perform a retrieval ...the translation model as a word selection one which aims at identifying which words in ... See full document
7
MuTUAL: A Controlled Authoring Support System Enabling Contextual Machine Translation
... We have presented a web-based support system for authoring municipal procedural documents. The prin- cipal novel feature of the system is that it makes use of document structuring based on the DITA frame- work, which ... See full document
5
Towards Neural Machine Translation with Partially Aligned Corpora
... In this paper, we have presented a new transla- tion scenario for NMT in which we have only monolingual data and bilingual phrase pairs. We obtain large-scale partially aligned sentence pairs from the monolingual data ... See full document
10
A Contextual Language Model to Improve Machine Translation of Pronouns by Re ranking Translation Hypotheses
... the translation divergencies of pronouns from English to French, specifically it and they, which have several gendered and non-gendered possible translations into ...of using anaphora resolution, which is ... See full document
13
First Steps in Using Word Senses as Contextual Features in Maxent Models for Machine Translation
... as machine translation, ambiguous terms are a major potential source of errors, as identical words with different meanings will normally have different target translations (Xiong and Zhang, ...a ... See full document
9
Information Based Machine Translation
... automatic translation requires the disambiguation of common, highly ambiguous verbs, such as to have, to take, or to ...view Machine Translation in terms of linguistic information represented ... See full document
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