Essays about: "Machine Translation"

Showing result 1 - 5 of 60 essays containing the words Machine Translation.

  1. 1. Automatic Error Detection and Correction in Neural Machine Translation : A comparative study of Swedish to English and Greek to English

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Anthi Papadopoulou; [2019]
    Keywords : ;

    Abstract : Automatic detection and automatic correction of machine translation output are important steps to ensure an optimal quality of the final output. In this work, we compared the output of neural machine translation of two different language pairs, Swedish to English and Greek to English. READ MORE

  2. 2. THE IMPACT OF USING GENERATED DATA IN LEARNING OBJECT DETECTION

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Max Holmberg; [2019]
    Keywords : ;

    Abstract : ‘The development of autonomous cars is in full progress. For the autonomous cars to be able to detect where other cars are, many machine learning models are utilised. READ MORE

  3. 3. Low Supervision, Low Corpus size, Low Similarity! Challenges in cross-lingual alignment of word embeddings : An exploration of the limitations of cross-lingual word embedding alignment in truly low resource scenarios

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Andrew Dyer; [2019]
    Keywords : word embeddings; cross-lingual; multilingual; low-resource; corpus size; Vecmap; FastText; alignment; orthogonal; eigenvalues; Laplacian; isospectral; isomorphic; bilingual lexicon induction;

    Abstract : Cross-lingual word embeddings are an increasingly important reseource in cross-lingual methods for NLP, particularly for their role in transfer learning and unsupervised machine translation, purportedly opening up the opportunity for NLP applications for low-resource languages.  However, most research in this area implicitly expects the availablility of vast monolingual corpora for training embeddings, a scenario which is not realistic for many of the world's languages. READ MORE

  4. 4. Sequence to Sequence Machine Learning for Automatic Program Repair

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Niclas Svensson; Damir Vrabac; [2019]
    Keywords : Automatic program repair; neural machine translation; sequence to sequence; bug fix;

    Abstract : Most of previous program repair approaches are only able to generate fixes for one-line bugs, including machine learning based approaches. This work aims to reveal whether such a system with the state of the art technique is able to make useful predictions while being fed by whole source files. READ MORE

  5. 5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Ricardo Núñez-Prieto; [2019]
    Keywords : Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

    Abstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE