Search Results for author: Haithem Afli

Found 24 papers, 3 papers with code

Using SMT for OCR Error Correction of Historical Texts

no code implementations LREC 2016 Haithem Afli, Zhengwei Qiu, Andy Way, P{\'a}raic Sheridan

A trend to digitize historical paper-based archives has emerged in recent years, with the advent of digital optical scanners.

Language Modelling Machine Translation +3

Identifying Effective Translations for Cross-lingual Arabic-to-English User-generated Speech Search

no code implementations WS 2017 Ahmad Khwileh, Haithem Afli, Gareth Jones, Andy Way

Cross Language Information Retrieval (CLIR) systems are a valuable tool to enable speakers of one language to search for content of interest expressed in a different language.

Information Retrieval Machine Translation +2

ADAPT at IJCNLP-2017 Task 4: A Multinomial Naive Bayes Classification Approach for Customer Feedback Analysis task

no code implementations IJCNLP 2017 Pintu Lohar, Koel Dutta Chowdhury, Haithem Afli, Mohammed Hasanuzzaman, Andy Way

In this paper, we analyse the real world samples of customer feedback from Microsoft Office customers in four languages, i. e., English, French, Spanish and Japanese and conclude a five-plus-one-classes categorisation (comment, request, bug, complaint, meaningless and undetermined) for meaning classification.

Classification General Classification +3

Splitfed learning without client-side synchronization: Analyzing client-side split network portion size to overall performance

no code implementations19 Sep 2021 Praveen Joshi, Chandra Thapa, Seyit Camtepe, Mohammed Hasanuzzamana, Ted Scully, Haithem Afli

Federated Learning (FL), Split Learning (SL), and SplitFed Learning (SFL) are three recent developments in distributed machine learning that are gaining attention due to their ability to preserve the privacy of raw data.

Federated Learning Image Classification +1

Enabling All In-Edge Deep Learning: A Literature Review

no code implementations7 Apr 2022 Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

Secondly, this paper presents enabling technologies, such as model parallelism and split learning, which facilitate DL training and deployment at edge servers.

Edge-computing Model Compression +3

Federated Split Learning with Only Positive Labels for resource-constrained IoT environment

no code implementations25 Jul 2023 Praveen Joshi, Chandra Thapa, Mohammed Hasanuzzaman, Ted Scully, Haithem Afli

Among various techniques in a DCML framework, federated split learning, known as splitfed learning (SFL), is the most suitable for efficient training and testing when devices have limited computational capabilities.

Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021

no code implementations MTSummit 2021 Séamus Lankford, Haithem Afli, Andy Way

Translation models for the specific domain of translating Covid data from English to Irish were developed for the LoResMT 2021 shared task.

Domain Adaptation Machine Translation +1

adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation

no code implementations4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

adaptNMT streamlines all processes involved in the development and deployment of RNN and Transformer neural translation models.

Machine Translation Translation

Human Evaluation of English--Irish Transformer-Based NMT

no code implementations4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

Our findings show the best-performing Transformer system significantly reduces both accuracy and fluency errors when compared with an RNN-based model.

Machine Translation NMT +1

adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds

1 code implementation4 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

As a multilingual tool, we used adaptMLLM to fine-tune models for two low-resource language pairs: English to Irish (EN$\leftrightarrow$GA) and English to Marathi (EN$\leftrightarrow$MR).

Machine Translation Translation

gaHealth: An English-Irish Bilingual Corpus of Health Data

1 code implementation6 Mar 2024 Séamus Lankford, Haithem Afli, Órla Ní Loinsigh, Andy Way

However in the context of low-resource languages, there is a paucity of parallel data datasets available for developing translation models.

Machine Translation Translation

Design of an Open-Source Architecture for Neural Machine Translation

no code implementations6 Mar 2024 Séamus Lankford, Haithem Afli, Andy Way

adaptNMT is an open-source application that offers a streamlined approach to the development and deployment of Recurrent Neural Networks and Transformer models.

Machine Translation Translation

gaHealth: An English–Irish Bilingual Corpus of Health Data

1 code implementation LREC 2022 Séamus Lankford, Haithem Afli, Órla Ní Loinsigh, Andy Way

However in the context of low-resource languages, there is a paucity of parallel data datasets available for developing translation models.

Machine Translation Translation

TransCasm: A Bilingual Corpus of Sarcastic Tweets

no code implementations PoliticalNLP (LREC) 2022 Desline Simon, Sheila Castilho, Pintu Lohar, Haithem Afli

Sarcasm is extensively used in User Generated Content (UGC) in order to express one’s discontent, especially through blogs, forums, or social media such as Twitter.

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