r/LanguageTechnology

I have a video file (not YouTube) in English and want to convert it to text transcript.

I’m on Windows and looking for a FREE tool. Accuracy is important. Offline would be great too.

What’s the best free option in 2026?

Thanks!

Hello everyone, the question I have been thinking about is whether Natural Language Processing is threatened by AI in a few years. The thing is, I have just started studying NLP in Slovak Language. I will have a Master's in 5 years but I'm afraid that in 5 years it will be much harder to find a job as a junior NLP programmer. What are your opinions on this topic?

I've been working on an alternative attention mechanism that treats language as a physical field system instead of using standard O(n²) self-attention.

How it works:

• Tokens are mapped onto a continuous 1D field

• Information propagates via damped wave equations: k(t) = exp(-α·t)·cos(ω·t + φ)

• Each attention head has just 3 learnable physics parameters (frequency, damping, phase)

• Convolution computed via FFT in O(n log n)

• Heads self-organize into different roles (local grammar, medium context, long-range)

Results (WikiText-2, 6M params, character tokenizer):

At longer sequences the savings grow: 31x at 2K tokens, 107x at 8K, 367x at 32K.

Known limitations:

• With BPE tokenizer (8K vocab), there's a significant capacity gap vs standard transformer

• This is a model capacity issue at small scale, not an architecture flaw

• Currently scaling to 100M params to see if the gap closes

What's unique:

• Every bug during development was found through physics-based diagnostics (energy flow, conservation, causality tests) — not guessing

• Cross-head field coupling and wave interference for information routing

• Not a Mamba/Hyena variant — different approach entirely

Code:

Happy to answer questions about the physics, architecture decisions, or results.