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Found 23 papers, 6 papers with code
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task
This paper describes the ADAPT Centre’s submission to the Adap-MT 2020 AI Translation Shared Task for English-to-Hindi.
Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation
In this study, we model source-language syntactic constituency parse and target-language syntactic descriptions in the form of supertags as conditional context for interactive prediction in neural MT (NMT).
The ADAPT System Description for the WMT20 News Translation Task
This paper describes the ADAPT Centre’s submissions to the WMT20 News translation shared task for English-to-Tamil and Tamil-to-English.
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task
This paper describes the ADAPT Centre’s submissions to the WMT20 Biomedical Translation Shared Task for English-to-Basque.
Identifying Complaints from Product Reviews: A Case Study on Hindi
Automatic recognition of customer complaints on products or services that they purchase can be crucial for the organisations, multinationals and online retailers since they can exploit this information to fulfil their customers’ expectations including managing and resolving the complaints.
Identifying Emotions in Code Mixed Hindi-English Tweets
Code-mixing (CM) is a process of mixing linguistic units such as words of two different languages.
Investigating Active Learning in Interactive Neural Machine Translation
It also improves the present state-of-the-art by 0. 35 and 0. 12 BLEU points for German-English and Spanish-English and respectively.
Detecting Violation of Human Rights via Social Media
Social media is not just meant for entertainment, it provides platforms for sharing information, news, facts and events.
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil
Statistical machine translation (SMT) was the state-of-the-art in machine translation (MT) research for more than two decades, but has since been superseded by neural MT (NMT).
Knowledge Distillation for Sustainable Neural Machine Translation
Knowledge distillation (KD) can be used to reduce model size and training time, without significant loss in performance.
Investigating Low-resource Machine Translation for English-to-Tamil
Statistical machine translation (SMT) which was the dominant paradigm in machine translation (MT) research for nearly three decades has recently been superseded by the end-to-end deep learning approaches to MT.
The ADAPT Centre’s Participation in WAT 2020 English-to-Odia Translation Task
This paper describes the ADAPT Centre sub-missions to WAT 2020 for the English-to-Odia translation task.
The ADAPT Centre’s Neural MT Systems for the WAT 2020 Document-Level Translation Task
In this paper we describe the ADAPT Centre’s submissions to the WAT 2020 document-level Business Scene Dialogue (BSD) Translation task.
Fine-tuning Large Language Models for Adaptive Machine Translation
These findings emphasise the significance of fine-tuning efficient LLMs like Mistral 7B to yield high-quality zero-shot translations comparable to task-oriented models like NLLB 3. 3B.
Adaptive Machine Translation with Large Language Models
By feeding an LLM at inference time with a prompt that consists of a list of translation pairs, it can then simulate the domain and style characteristics.
Translation Word-Level Auto-Completion: What can we achieve out of the box?
Research on Machine Translation (MT) has achieved important breakthroughs in several areas.
Domain-Specific Text Generation for Machine Translation
Preservation of domain knowledge from the source to target is crucial in any translation workflow.
Arabisc: Context-Sensitive Neural Spelling Checker
Accordingly, we made use of a bidirectional LSTM language model (LM) for our context-sensitive spelling detection and correction model which is shown to have much control over the correction process.
The ADAPT System Description for the STAPLE 2020 English-to-Portuguese Translation Task
This paper describes the ADAPT Centre{'}s submission to STAPLE (Simultaneous Translation and Paraphrase for Language Education) 2020, a shared task of the 4th Workshop on Neural Generation and Translation (WNGT), for the English-to-Portuguese translation task.
Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation
Every day, more people are becoming infected and dying from exposure to COVID-19.
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English
Terminology translation plays a critical role in domain-specific machine translation (MT).
