arXiv research

We present 27 problems encountered in automating the translation of movie/TV show subtitles. We categorize each problem in one of the three categories viz. problems directly related to textual translation, problems related to subtitle creation guidelines, and problems due to adaptability of machine translation (MT) eng…

DeepSubQE estimates translation quality for subtitles, improving on existing methods.

Re-speaking is a mechanism for obtaining high quality subtitles for use in live broadcast and other public events. Because it relies on humans performing the actual re-speaking, the task of estimating the quality of the results is non-trivial. Most organisations rely on humans to perform the actual quality assessment, …

This paper proposes a method to gain extra supervision via multi-task learning for multi-modal video question answering. Multi-modal video question answering is an important task that aims at the joint understanding of vision and language. However, establishing large scale dataset for multi-modal video question answeri…

Paper classifies movie genres using multimodal data.

We present a novel language adaptable spell checking system which detects spelling errors and suggests context sensitive corrections in real-time. We show that our system can be extended to new languages with minimal language-specific processing. Available literature majorly discusses spell checkers for English but the…

Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for this purpose. When an audience watches a movie, they usually compare the characters and the relationships between them. For this reason, most o…

Empirical law predicts accuracy of Google Translate's translation chains.

The authors of (Cho et al., 2014a) have shown that the recently introduced neural network translation systems suffer from a significant drop in translation quality when translating long sentences, unlike existing phrase-based translation systems. In this paper, we propose a way to address this issue by automatically se…

Paper proposes a method to learn word translations bidirectionally.

Study on rigidity of translating hypersurfaces not in graphical direction.

Forward translation improves neural machine translation for sentences originally in source language.

The natural automorphism group of a translation surface is its group of translations. For finite translation surfaces of genus g > 1 the order of this group is naturally bounded in terms of g due to a Riemann-Hurwitz formula argument. In analogy with classical Hurwitz surfaces, we call surfaces which achieve the maxima…

Study on stable translation lengths of surface homeomorphisms and their approximations.

Researchers classify and describe $K^α$-translators in Euclidean space.

The quality of machine translation is rapidly evolving. Today one can find several machine translation systems on the web that provide reasonable translations, although the systems are not perfect. In some specific domains, the quality may decrease. A recently proposed approach to this domain is neural machine translat…

Study measures gender bias in machine translation using multiple reference points.

Classifies and constructs translators for curvature flows.

This paper uses LLMs and cycle consistency for better machine translation evaluation.

Paper finds a non-existence theorem for certain translators in high dimensions.

Constructing translating solitons from Lagrangian Grim Reapers.

Study classifies translators for mean curvature flow in 3D.

Study on singular points of translation surfaces under linearly dependent conditions.

Proves uniqueness of translators in 3D space.

An NMT system for Indic languages outperforms Google Translate.

New families of translation surfaces with multiple oblivious points discovered.

In this article we prove two non-existence results for translating solitons of the mean curvature flow (translators for short) in $\mathbb{R}^{m+1}$. We also obtain an upper bound to the maximum height that a compact embedded translator in $\mathbb{R}^{3}$ can achieve. On the other hand, we study graphical perturbation…

This paper classifies grim reapers in a specific product space.

Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance. The models proposed recently for neural ma…

Study invariant $λ$-translators in Lorentz-Minkowski space.

Unique minimal translation surfaces found in Heisenberg group.

Study classifies and characterizes translators in hyperbolic static universe.

The study proves stability of various graphical translators in mean curvature flow.

Study translators in Generalised Robertson-Walker spacetimes, identifying warping functions and classifying examples.

The paper shows how integrating categorical semantics can enhance unsupervised domain translation.

The paper explores new translating solitons and their relation to $Δ$-wings.

African languages are numerous, complex and low-resourced. The datasets required for machine translation are difficult to discover, and existing research is hard to reproduce. Minimal attention has been given to machine translation for African languages so there is scant research regarding the problems that arise when …

Study shows only grim reaper cylinder for certain self-translating surfaces.

Study proves conditions for translating solitons to be planar.

We study volume growth, entropy and stability for translating solitons of mean curvature flow. First, we prove that every complete properly immersed translator has at least linear volume growth. Then, by using Huisken's monotonicity formula, we compute the entropy of the grim reaper and the bowl solitons. We also give …

Researchers create annular translators for mean curvature flow.

We introduce and describe the results of a novel shared task on bandit learning for machine translation. The task was organized jointly by Amazon and Heidelberg University for the first time at the Second Conference on Machine Translation (WMT 2017). The goal of the task is to encourage research on learning machine tra…

The paper classifies special surfaces in a 3D space.

Improved understanding of translating solitons using new techniques.

In this paper, we compute the first and second variation formulas for the F-functional of translating solitons and study the Hamiltonian L-stability of Lagrangian translating solitons. We prove that any Lagrangian translating soliton is Hamiltonian L-stable.

The paper classifies invariant translators for a specific curvature flow.

Classifies orbit closures in translation surface strata.

Recent GAN-based architectures have been able to deliver impressive performance on the general task of image-to-image translation. In particular, it was shown that a wide variety of image translation operators may be learned from two image sets, containing images from two different domains, without establishing an expl…