Contributions are invited on any topic related to latest technology and practices in machine translation, translation, subtitling, localisation and interpreting.

NeTTT’2024 will feature a Special Theme Track “Future of Translation Technology in the Era of LLMs and Generative AI”.

The conference topics include but are not limited to:

CAT tools

    Translation Memory (TM) systems
    NLP and MT for translation memory systems
    Terminology extraction tools
    Localisation tools

Machine Translation

    Latest developments in Neural Machine Translation
    MT for under-resourced languages
    MT with low computing resources
    Multimodal MT
    Integration of MT in TM systems
    Resources for MT

Technologies for MT deployment 

    MT evaluation techniques, metrics and evaluation results
    Human evaluations of MT output
    Evaluating MT in a real-world setting
    Quality estimation for MT
    Domain adaptation

 Translation Studies

    Corpus-based studies applied to translation
    Corpora and resources for translation
    Translationese
    Cognitive effort and eye-tracking experiments in translation

Interpreting studies

    Corpus-based studies applied to interpreting
    Corpora and resources for interpreting
    Interpretationese
    Resources for interpreting and interpreting technology applications
    Cognitive effort and eye-tracking experiments in interpreting

Interpreting technology

    Machine interpreting
    Computer-aided interpreting
    NLP for dialogue interpreting
    Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services)

Emerging Areas in Translation and Interpreting

    MT and translation tools for literary texts and creative texts
    MT for social media and real-time conversations
    Sign language recognition and translation

Subtitling

    NLP and MT for subtitling
    Latest technology for subtitling

User needs

    Analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology
    User requirements for interpreting and translation tools
    Incorporating human knowledge into translation and interpreting technology
    What existing translators’ (including subtitlers’) and interpreters’ tools do not offer
    User requirements for electronic resources for translators and interpreters
    Translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed

The business of translation and interpreting

    Translation workflow and management
    Technology adoption by translators and industry
    Setting up translation /interpreting / language provider company

Teaching translation and interpreting

    Teaching Machine Translation
    Teaching translation technology
    Teaching interpreting technology
    Latest AI developments in the syllabi of translation and interpreting curricula

Ethical issues in translation and technology 

    Bias and fairness in MT
    Privacy and security in cloud MT systems
    Transparency and explainability of MT systems
    Environmental impact on MT systems

Special Theme Track – Future of Translation Technology in the Era of LLMs and Generative AI

We are excited to share that NeTTT’2024 will have a special theme with the goal of stimulating discussion around Large Language Models, Generative AI and the Future of Translation and Interpreting Technology. While the new generation of Large Language Models such as CHATGPT and LLAMA showcase remarkable advancements in language generation and understanding, we find ourselves in uncharted territory when it comes to their performance on various Translation and Interpreting Technology tasks with regards to fairness, interpretability, ethics and transparency.
The theme track invites studies on how LLMs perform on Translation and Interpreting Technology tasks and applications, and what this means for the future of the field. The possible topics of discussion include (but are not limited to) the following:

    Changes in the translators and interpreters’ professions in the new AI era especially as a result of the latest developments in LLMs and Generative AI
    Generative AI and translation
    Generative AI and interpreting
    Augmenting machine translation systems with generative AI
    Domain and terminology adaptation with Large Language Models
    Literary translation with Large Language Models
    Improving Machine Translation Quality with Contextual Prompts in Large Language Models
    Prompt engineering for translation
    Generative AI for professional translation
    Generative AI for professional interpreting

We anticipate having a special session on this theme at the conference.