• Future Built on Knowledge
Machine Translation Unit
  • Home
  • People
  • Research
  • Projects
  • Publications
  • Seminars
  • Resources
  • Join us
  • LOGIN

Select Page

The Repetition Rate of Text as a Predictor of the Effectiveness of Machine Translation Adaptation

MT Group at FBK Follow

#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

Avatar
Avatar MT Group at FBK @fbk_mt ·
5h

⭐ For our #PickOfTheWeek, this paper explores an important question for modern speech AI:

🎙️ Which Evaluation for Which Speech Model?
👥 Authors: @Maureendss , @EeshanDhekane

Speech foundation models are evolving rapidly, but evaluation practices are still fragmented.

Reply on Twitter 2059703767570780492 Retweet on Twitter 2059703767570780492 Like on Twitter 2059703767570780492 2 Twitter 2059703767570780492
Avatar MT Group at FBK @fbk_mt ·
15 May

🏝️ Yesterday at #LREC2026, Palma de Mallorca!
@lina_conti presented "Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation" at the poster session.
📄Paper:
💻Code: https://github.com/lina-conti/voice-bias-coreference
#SpeechTranslation #NLProc

Reply on Twitter 2055326042957713546 Retweet on Twitter 2055326042957713546 Like on Twitter 2055326042957713546 6 Twitter 2055326042957713546
Avatar MT Group at FBK @fbk_mt ·
13 May

How does the granularity of speech-text pairs impact SpeechLLM performance, and what is the optimal way to interleave tokens? Furthermore, what are the best practices for generating synthetic data to boost training?🧐

Reply on Twitter 2054503147721097286 Retweet on Twitter 2054503147721097286 Like on Twitter 2054503147721097286 3 Twitter 2054503147721097286
Retweet on Twitter MT Group at FBK Retweeted
Avatar fbk_stek @fbk_stek ·
8 May

Reply on Twitter 2052822167511826811 Retweet on Twitter 2052822167511826811 2 Like on Twitter 2052822167511826811 3 Twitter 2052822167511826811
Load More

Designed by Elegant Themes | Powered by WordPress