Artwork

Contenuto fornito da Slator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Slator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

#187 Stop Using the Term Full Post-Editing with Jakub Absolon

44:28
 
Condividi
 

Manage episode 380358318 series 2975363
Contenuto fornito da Slator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Slator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Jakub Absolon, CEO of ASAP-translation.com, joins SlatorPod to share insights into the evolving landscape of AI in the language industry and the role of post-editing in the translation process.
Jakub acknowledged the success of the past two years but noted that this year has brought new challenges. To stay competitive, the LSP plans to expand its B2B client base beyond the Slovak and Czech markets and explore languages in Central and Eastern Europe.
The podcast delves into the concept of full post-editing, which Jakub criticizes, believing it often results in a near-human translation, making it difficult for translators to justify their role and potentially leading to a decline in the quality of work and a loss of skilled translators.
Jakub expresses skepticism about the complete replacement of human project management with AI, as project managers serve as crucial connectors between clients and translators.
Regarding the use of large language models like ChatGPT, Jakub mentions that he uses them for content creation, but it requires a good understanding of the topic to avoid hallucinations.
Jakub anticipates that the industry will continue to grow, with a greater emphasis on post-edited machine translation and content creation rather than traditional translation.

  continue reading

Capitoli

1. Intro (00:00:00)

2. Professional Background (00:00:55)

3. ASAP-translation.com in a Nutshell (00:02:52)

4. Evolution of Clients (00:06:23)

5. Current Business Mood (00:08:03)

6. Working with Freelancers (00:09:38)

7. Post-Editing Machine Translation (00:10:40)

8. Thoughts on Full Post-Editing (00:15:28)

9. Different Translation Processes (00:19:52)

10. Effect on Translators (00:30:38)

11. Expertise Versus Linguistic Skills (00:35:29)

12. Impact of LLMs (00:38:46)

13. What ATCSK is Up To (00:41:05)

14. Industry Outlook (00:42:59)

245 episodi

Artwork
iconCondividi
 
Manage episode 380358318 series 2975363
Contenuto fornito da Slator. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Slator o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Jakub Absolon, CEO of ASAP-translation.com, joins SlatorPod to share insights into the evolving landscape of AI in the language industry and the role of post-editing in the translation process.
Jakub acknowledged the success of the past two years but noted that this year has brought new challenges. To stay competitive, the LSP plans to expand its B2B client base beyond the Slovak and Czech markets and explore languages in Central and Eastern Europe.
The podcast delves into the concept of full post-editing, which Jakub criticizes, believing it often results in a near-human translation, making it difficult for translators to justify their role and potentially leading to a decline in the quality of work and a loss of skilled translators.
Jakub expresses skepticism about the complete replacement of human project management with AI, as project managers serve as crucial connectors between clients and translators.
Regarding the use of large language models like ChatGPT, Jakub mentions that he uses them for content creation, but it requires a good understanding of the topic to avoid hallucinations.
Jakub anticipates that the industry will continue to grow, with a greater emphasis on post-edited machine translation and content creation rather than traditional translation.

  continue reading

Capitoli

1. Intro (00:00:00)

2. Professional Background (00:00:55)

3. ASAP-translation.com in a Nutshell (00:02:52)

4. Evolution of Clients (00:06:23)

5. Current Business Mood (00:08:03)

6. Working with Freelancers (00:09:38)

7. Post-Editing Machine Translation (00:10:40)

8. Thoughts on Full Post-Editing (00:15:28)

9. Different Translation Processes (00:19:52)

10. Effect on Translators (00:30:38)

11. Expertise Versus Linguistic Skills (00:35:29)

12. Impact of LLMs (00:38:46)

13. What ATCSK is Up To (00:41:05)

14. Industry Outlook (00:42:59)

245 episodi

Tutti gli episodi

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida

Ascolta questo spettacolo mentre esplori
Riproduci