Florian and Esther discuss the language industry news of the week, with SlatorCon London, scheduled for May 23rd, announcing the speaker lineup, including a Keynote presentation from Iris Orriss of Meta.

They then discuss how enterprises are becoming increasingly comfortable launching fully automated language AI features, labeling it the “normalization of language AI”.

The duo talk about the unprecedented merger of Swiss-based SuperText and Textshuttle, signaling a shift towards more integrated, technology-driven solutions.

Other M&A activity includes Deluxe's strategic investment in AppTek, TransPerfect's acquisition of TheSpeech, Diuna Group acquiring Yellow, and Cloudbreak Health’s sale.

Esther provides an update on financial results, with Straker anticipating a revenue decline while Keywords experienced growth in its top line but a decrease in its globalization division. Meanwhile, Appen faced a failed takeover bid after the bid was leaked, impacting the acquisition of the company.

The podcast also touches on Google Translate’s controversial decision to shelve its human feedback tool, Contribute, which allowed users to suggest translations for improvement. In other AI news, researchers from the Earth Species Project are exploring the possibility of translating animal communication using advanced AI models.

Florian wraps up the pod with the European Commission's recent tender award, TRAD23, which sparked concerns among individual translators regarding pricing and quality standards.

Dr. B.J. Woodstein, Professor, Translator, and Writer, joins SlatorPod to talk about translation theory and its implications for literary translators, while also shedding light on the professional challenges, nuances, and ethical considerations.

B.J. discusses her upcoming book, “Translation Theory for Literary Translators”, where she aims to demystify translation theory and make it accessible to translators. She highlights the need for translators to understand and engage with translation theory to enhance their work and make informed decisions in their practice.

The author shares insights on the market dynamics of literary translation, including how translators are selected, rates are set, and the challenges faced in the industry.

She highlights the importance of human intervention in translation, especially in handling linguistic nuances, cultural concepts, and editorial decisions that go beyond what AI or machine translation can achieve.

B.J. reflects on the linguistic and cultural challenges in translating from Swedish to English, such as dealing with different language structures and cultural nuances that may not easily be translated. She also explores the complexities of translating sensitive or explicit content, where decisions need to be made to maintain cultural authenticity while adapting for the target market.

The podcast concludes with B.J. sharing her current research projects on equality, diversity, and inclusion in higher education, as well as her interest in translating queer literature.

Mihai Vlad, the Founder of Video Highlight and former General Manager of Language Weaver, joins SlatorPod to talk about his entrepreneurial journey and insights into the language AI startup landscape.

Mihai discusses his latest venture, Video Highlight, which aims to solve the inefficiency of extracting valuable information from lengthy videos by providing automatic transcription, timestamped summaries, key highlights, and interactive chats.

By enabling summaries in multiple languages, Video Highlight gained unexpected traction from non-English speakers in Latin America, Europe, and Asia, indicating a global demand for efficient video consumption tools.

Mihai talks about the utility of leveraging AI-powered models, particularly LLMs, in various content creation and processing tasks, such as summarizing podcasts, generating derivative content, and aiding in machine translation.

Mihai reflects on the entrepreneurial journey in AI, emphasizing the importance of timing, innovation, and adaptability. He discusses the challenges of balancing cost-effectiveness while scaling up operations and the significance of making strategic decisions regarding API usage and infrastructure.