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Yasmin Moslem

ADAPT Centre

19 papers hereh-index 8370 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author9
  • middle author2
  • last author4

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL15
  • cs.CV1
  • cs.NI1
  • cs.PF1
  • eess.AS1
affiliations
  • ADAPT Centre
  • Trinity College Dublin
Homepage

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedAdaptive Machine Translation with Large Language Models

43 citations · 85 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Domain-Specific Translation with Open-Source Large Language Models: Resource-Oriented Analysis

Aman Kassahun Wassie, Mahdi Molaei, Yasmin Moslem

In this work, we compare the domain-specific translation performance of open-source autoregressive decoder-only large language models (LLMs) with task-oriented machine translation…

cs.CL2024

Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation

Yasmin Moslem

This paper describes our system submission to the International Conference on Spoken Language Translation (IWSLT 2024) for Irish-to-English speech translation. We built end-to-end…

cs.CL2024★ 2 cited

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar +58

Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing…

cs.CL2024★ 1 cited

Language Modelling Approaches to Adaptive Machine Translation

Yasmin Moslem

Consistency is a key requirement of high-quality translation. It is especially important to adhere to pre-approved terminology and adapt to corrected translations in domain-specifi…

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