Екітілді деректер
Related Papers
Cascaded Phrase-Based Statistical Machine Translation Systems
Statistical-based methods are the preva- lent approaches for implementing machine translation systems today. However the resulted translations are usually flawed to some degree. We assume that a statisti- cal baseline …...
Re-training Monolingual Parser Bilingually for Syntactic SMT
The training of most syntactic SMT approaches involves two essential components, word alignment and monolingual parser. In the current state of the art these two components are mutually independent, thus …...
Named Entity Recognition with Bilingual Constraints
Different languages contain complementary cues about entities, which can be used to im- prove Named Entity Recognition (NER) sys- tems. We propose a method that formu- lates the problem of …...
Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning
AbstractThe performance of Neural Machine Translation (NMT) models relies heavily on the availability of sufficient amounts of parallel data, and an efficient and effective way of leveraging the vastly available …...
A Bilingual Generative Transformer for Semantic Sentence Embedding
AbstractSemantic sentence embedding models encode natural language sentences into vectors, such that closeness in embedding space indicates closeness in the semantics between the sentences. Bilingual data offers a useful signal …...
When and Why is Unsupervised Neural Machine Translation Useless?
AbstractThis paper studies the practicality of the current state-of-the-art unsupervised methods in neural machine translation (NMT). In ten translation tasks with various data settings, we analyze the conditions under which …...
Learning How to Translate North Korean through South Korean
AbstractSouth and North Korea both use the Korean language. However, Korean NLP research has focused on South Korean only, and existing NLP systems of the Korean language, such as neural …...
MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages
AbstractWe introduce the project “MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages”, funded by the Connecting Europe Facility, which is aimed at building monolingual …...
Tagged End-to-End Simultaneous Speech Translation Training Using Simultaneous Interpretation Data
AbstractSimultaneous speech translation (SimulST) translates partial speech inputs incrementally. Although the monotonic correspondence between input and output is preferable for smaller latency, it is not the case for distant language …...