AI’s Journey into Ancient Languages and Culture
By Christina Salem
In a remarkable convergence of artificial intelligence (AI) and linguistic passion, the enigmatic beauty of ancient languages and cultural identities is emerging from the shadows. For one individual, this fusion is more than an academic pursuit; it’s a personal odyssey fueled by a deep desire to reconnect with his roots and amplify the voices of silenced cultures.
Meet Matthew Nazari, a trailblazer whose journey through linguistics and technology has paved the way for AI’s transformative role in understanding ancient languages. From his upbringing in a household resonating with the sound of Assyrian, one of the world’s most ancient languages, to his endeavors at prestigious institutions, Nazari’s voyage has been one of rediscovery and empowerment.
Nazari’s fascination with languages was ignited at home, where Assyrian was spoken around him. As he recalls, “I remember my uncles proclaiming that Assyrian was the oldest language, the language that Jesus spoke—the first language ever!” This assertion left an indelible mark on his young mind. Living in California exposed him to an array of languages, stirring an obsession to understand how languages shape identities.
Arriving at Harvard to study computer science and linguistics, Nazari delved into learning coursework and research. The fusion of his linguistic heritage and technical expertise was inevitable. Yet, it wasn’t until he grappled with a recurring thought—how could he use his skills to contribute to the revival of Assyrian—that a new path emerged.
Nazari’s journey soon transcended his personal quest. He envisioned leveraging AI to decipher, document, and understand ancient languages in ways that not only advanced linguistic research but also upheld the cultural tapestry they represent. Through AI-powered transcription platforms like Transkribus, scripts spring to life that baffle generations. As a comprehensive platform, Transkribus recognizes, transcribes, and can search historical documents from any time, place, or language.
Integrating AI into the study of ancient languages presented challenges. Nazari confronted the task of creating training data for AI models. This choice involved orthographical representation—deciding how to transcribe the language. Here, the specter of colonialism loomed. The literary standard for Assyrian, developed by 19th-century British and American missionaries, did not capture the essence of the spoken language.
With Nazari’s connection to the Assyrian identity, he sought to project the unbiased originality of the language he grew up with. Nazari’s conviction lay in authentic language documentation that resonated with the hearts of Assyrian speakers.
He encountered hurdles in acquiring unbiased data. An old newspaper in the literary standard turned out to be the work of a British author, not an Assyrian. Nazari’s focus shifted to linguistic documentation—transcribed folktales and historical accounts that truly reflected the language. Here, AI speech recognition proved invaluable, speeding up a process that traditionally demanded considerable time and expertise.
Nazari’s journey has led him to reflect on the broader implications of AI in cultural and linguistic contexts. He expressed concern about AI’s potential to homogenize cultural diversity. “AI can inadvertently expedite the suppression of rich cultural tapestries,” he mused. His engagement with researchers who prioritize cultural identity preservation has fueled his resolve to ensure AI’s ethical and beneficial application.
As he delved deeper into AI’s potential, Nazari found himself pondering the intersection of identity and technology. He questioned how AI’s influence on language reclamation could shape the self-perception of communities. “We need to be mindful of the narratives AI can construct,” he emphasized, “and ensure they reflect the authentic essence of these cultures.”
As AI’s capabilities expand, the possibilities for language reclamation and cultural revitalization continue to multiply. Beyond mere technological tools, AI storytellers and language tutors may emerge, sparking newfound connections between generations and cultures.
Among Nazari, two remarkable individuals stand as torchbearers of ancient voices brought into the digital age. Hailing from Germany, a group of passionate humans have unveiled “syriac.io,” an early iteration of a translator that breathes life into diverse Aramaic dialects encompassing both written and spoken realms.
Meanwhile, across the ocean in Chicago, Annette David, a visionary at Google is at the forefront of a transformative journey in association with William Merza and Immanuel Odisho. With Google Translate as their canvas, they champion the resurgence of the Assyrian language with the collaboration of tradition and technology. These modern-day language revivalists exemplify the harmonious convergence of heritage and innovation, sparking a renaissance of communication that will echo across time.
Nazari’s experience underscores the importance of collaboration, humility, and sensitivity when bridging technology and culture. His journey remains a testament to the profound impact AI can have on preserving languages and identities, illuminating the intricate threads that weave our collective human heritage.
In the resonant cadence of AI and ancient languages, Nazari’s quest to empower silenced voices is forging a path toward a future where the symphony of human diversity harmonizes with the melody of technological innovation. As he envisions it, AI is not just a tool—it’s a bridge connecting the whispers of the past with the aspirations of the future. In Nazari’s world, AI becomes a co-author of history, crafting narratives that honor the past while shaping the narratives of generations yet to come.