Corpora

MCIF

by Sara Papi | Apr 17, 2026 | Corpora | 0

MCIF (Multimodal Crosslingual Instruction Following) is a multilingual human-annotated benchmark based on scientific talks that is designed to evaluate instruction-following in crosslingual, multimodal settings over both short-...

mGeNTE

by Beatrice Savoldi | Jan 13, 2025 | Corpora | 0

mGeNTE (Multilingual Gender-Neutral Translation Evaluation) is a natural, multilingual corpus designed to benchmark gender-neutral language and automatic translation.mGente is built upon European Parliament speech data extracted...

MOSEL

by Sara Papi | Oct 31, 2024 | Corpora | 0

The MOSEL corpus is a multilingual dataset collection including up to 950K hours of open-source speech recordings covering the 24 official languages of the European Union. We collect data by surveying labeled and unlabeled...

Speech-MASSIVE

by Beomseok Lee | Aug 21, 2024 | Corpora | 0

Spoken Language Understanding (SLU) involves interpreting spoken input using Natural Language Processing (NLP). Voice assistants like Alexa and Siri are real-world examples of SLU applications. The core tasks in SLU include...

WAGS

by Mauro Cettolo | Apr 30, 2024 | Corpora | 0

Ready-to-use version for MT research purposes of the multilingual transcriptions of TED talks

GenderCrawl

by Dennis Fucci | Oct 20, 2023 | Corpora | 0

Text corpora for Spanish, French, and Italian containing gendered words referring to the first-person speaker

INES

by Beatrice Savoldi | Oct 19, 2023 | Corpora | 0

The INclusive Evaluation Suite (INES) is a test set designed to assess MT systems ability to produce gender-inclusive translations for the German→English language pair. By design, each German source sentence in INES includes an...

GeNTE

by Beatrice Savoldi | Oct 9, 2023 | Corpora | 0

GeNTE (Gender-Neutral Translation Evaluation) is a natural, bilingual corpus designed to benchmark the ability of machine translation systems to generate gender-neutral translations. Built from European Parliament speeches,...

EC Short Clips

by Marco Gaido | Jul 7, 2023 | Corpora | 0

EC Short Clips is a test set dedicated to evaluate automatic subtitling systems.

EuroParl Interviews

by Marco Gaido | Jul 7, 2023 | Corpora | 0

EuroParl Interviews is a test set dedicated to evaluate automatic subtitling systems.

NEuRoparl-ST

by Matteo Negri | Jun 1, 2023 | Corpora | 0

Multilingual benchmark built from European Parliament speeches and annotated with Named Entities and Terminology

Heroes-ON-OFF

by Mauro Cettolo | May 30, 2023 | Corpora | 0

Annotation of dubbing segments based on the Heroes corpus

MT Group at FBK Follow

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

Avatar MT Group at FBK @fbk_mt ·

12 Aug

Our pick of the week:

"Large Language Diffusion Model" by Shen Nie, Fengqi Zhu, @ZebinYou, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, @LiChongxuan

It is very cool to see how the researcher combine diffusion model and transformer blocks to train

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Avatar MT Group at FBK @fbk_mt ·

24 Jul

Our pick of the week by
@mgaido91

: "FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model" by Jiaqi Li, Chaoren Wang, Xiaohai Tian, Mingjie Chen, Xinyu Liang, Xu Li, Yufan Lin, Junwen Qiu, Jun Zhang, Lu Lu, Haizhou Li and @drwuz
#SLM #EfficientInference

Marco Gaido @mgaido91

Cool to see a work that adaptively chooses at inference how much to compress the input speech sequence, to control inference costs and quality based on the input, without enforcing a global trade-off to each segment: https://arxiv.org/pdf/2606.31247

@fbk_mt

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8 Jul

Our pick of the week by
@FBKZhihangXie : "Speech-XL: Towards Long-Form Speech Understanding in Large Speech Language Models" by Haoqin Sun, @Chenyang_Lyu, Shiwan Zhao, Xuanfan Ni, Xiangyu Kong, @wangly0229, Weihua Luo and Yong Qin
#SpeechLLM #LongFormSpeech #SLU

Zhihang Xie @FBKZhihangXie

🚀 New paper: Speech-XL for long-form SpeechLLMs
📄 https://arxiv.org/abs/2602.05373
🧩 Uses Speech Summarization Tokens to compress local speech intervals into compact KV states efficiently.
✨ Improves long-form speech understanding while reducing memory and FLOPs on 10-minute audio.

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Avatar MT Group at FBK @fbk_mt ·

25 Jun

Last week, we had a great talk for our MT Seminar Series!
@julius_gulius a PhD from @cambridgenlp presented a talk on "Effective uses of grammatical knowledge in extremely low-resource Machine Translation"
#MachineTranslation #LowResourceMT #NLProc #FBK

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