Giter Site home page Giter Site logo

tharindudr / thesis Goto Github PK

View Code? Open in Web Editor NEW
2.0 2.0 0.0 48.79 MB

Deep Learning based Semantic Textual Similarity Metric for Applications in Translation Technology

TeX 100.00%
semantic-textual-similarity translation-memories translation-quality-estimation transformer deep-learning

thesis's Introduction

PDF

Deep Learning based Semantic Textual Similarity Metric for Applications in Translation Technology

This repository contains the LaTeX source for the PhD thesis written by Tharindu Ranasinghe. Code for running the experiments presented in the thesis can be found in each respective chapter. Parts of this thesis appeared in the following peer-reviewed papers. For many of the topics discussed in both, the thesis provides more extensive coverage with more datasets. Code for running the experiments presented in these publications can be found in each respective publication's repository, linked below.

Publications

An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
ACL 2021
Paper Code
TransQuest: Translation Quality Estimation with Cross-lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
COLING 2020
Paper Code
TransQuest at WMT2020: Sentence-Level Direct Assessment
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
WMT 2020
Paper Code
Intelligent Translation Memory Matching and Retrieval with Sentence Encoders
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
EAMT 2020
Paper Code
Semantic textual similarity based on deep learning: Can it improve matching and retrieval for Translation Memory tools?
Tharindu Ranasinghe, Ruslan Mitkov, Constantin Orasan, and Rocío Caro Quintana
Corpora in Translation and Contrastive Research in the Digital Age: Recent advances and explorations
John Benjamins
Paper Code
Semantic Textual Similarity with Siamese Neural Networks
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
RANLP 2019
Paper Code
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations
Tharindu Ranasinghe, Constantin Orasan, and Ruslan Mitkov
RANLP 2019
Paper Code

thesis's People

Contributors

tharindudr avatar

Stargazers

 avatar  avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.