The team compared the NTREX-128 data set with COMET-src, a neural framework for MT evaluation, for the authentic translation direction against the scores obtained in the reverse direction. They also investigated how COMET-src behaves for languages it has yet to be trained. Microsoft Research rev...
We also demonstrate the sample use-cases of machine translation and region-specific image captioning using the new BVG dataset. These results can be considered as the baseline for subsequent research.Sen, ArghyadeepKIIT UniversityParida, Shantipriya...
We also present integrated sequence-to-sequence baselines for machine translation, automatic speech recognition, spoken language translation, and multimodal summarization. By making available data and code for several multimodal natural language tasks, we hope to stimulate more research on these and ...
Deep Learning may offer a solution for fully automated adaptation. Advances in architectures, hardware, and available data have led neural methods to achieve state-of-the-art results in many linguistic tasks, including Machine Translation9 and Text Simplification10. Neural methods, however, require ...
Parameters: targetDatasetId - the targetDatasetId value to set. Returns: the MachineLearningServicesDatasetDriftDetectedEventData object itself.toJson public JsonWriter toJson(JsonWriter jsonWriter) Parameters: jsonWriter Throws: IOException Applies to Azure SDK for J...
Automatically generating the captions for an image. nlpmachine-translationkerasimage-recognitionimage-captioningvgg16flickr8k-dataset UpdatedMay 14, 2019 Jupyter Notebook Image Captioning is the task of describing the content of an image in words. This task lies at the intersection of computer vision ...
STS2013 Machine Translationpairs translated and translated-and-postedited newswire headlines. Payment required. TAC tracks RTE-4 to RTE-7. Printed user agreement required. Algorithm References Here, we refer to some interesting models for sentence pair classification. We focus mainly on papers that co...
We argue that there are currently two major bottlenecks to the commercial use of statistical machine learning approaches for natural language generation (NLG): (a) The lack of reliable automatic evaluation metrics for NLG, and (b) The scarcity of high quality in-domain corpora. We address the ...
Automatic translation from ancient Chinese to modern Chinese helps to inherit and carry forward the quintessence of the ancients. However, the lack of large-scale parallel corpus limits the study of machine translation in Ancient-Modern Chinese. In this paper, we propose an Ancient-Modern Chinese ...
vietnamesemachine-translationenglishspeech-translationphostbenchmark-datasetenglish-to-vietnamese UpdatedJul 22, 2024 floriankagerer/bed-bpp-env Star14 Code Issues Pull requests This repository contains a gym environment that can be used for developing solvers for robotic 3D bin packing problems. ...