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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchYou can translate stock research without uploading its text by running a translation model locally on a computer you control. The key is to verify that the model is actually running in local mode, then treat its output as a reading aid—not as a reliable substitute for the original or a basis for an investment decision.
What “local” translation does—and does not—mean
In local mode, a model processes the text on your device rather than sending the text to a cloud-hosted model. Ollama’s privacy policy says that when content is processed locally, Ollama does not collect, store, transmit, or have access to prompts, responses, model interactions, or other content. The policy separately says Ollama may collect limited device and usage metadata and describes cloud-hosted model use. Read the Ollama privacy policy for the distinction.
That statement applies to Ollama’s documented local mode; it does not establish how another application handles content or prove that every part of a document workflow stays on your computer. Text extraction, file storage, and display may involve other software. Check those tools and confirm the model is not running in a cloud mode before processing sensitive material.
Choose a model for the language direction
Identify the document’s source language and the language you want to read, then confirm the model supports that direction. Meta describes its NLLB project as translating directly between 200 languages and notes its use through Wikimedia’s Content Translation tool. That broad coverage does not establish equal quality across language pairs or specialist financial vocabulary. See Meta’s NLLB project overview.
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The NLLB Team’s 2022 paper reports evaluation across more than 40,000 translation directions using FLORES-200, a human-translated benchmark, and a 44% BLEU improvement relative to the previous state of the art. These are benchmark results reported by the paper, not accuracy guarantees for a particular stock document, language direction, model build, or local setup. They do not measure financial-research quality. Read the NLLB Team’s 2022 paper.
A careful local translation workflow
- Check the document and your permission to process it. Use text you are allowed to process. Running a model locally does not resolve legal, contractual, employer, or licensing obligations.
- Confirm the language pair and execution mode. Check that the model supports the source-to-target direction and that the application is configured to run it locally, not through a hosted model. If using Ollama, its privacy statement covers Ollama’s local processing; it does not automatically cover other tools in your workflow.
- Start with a short passage. Choose a representative excerpt and compare its translation with the source before translating more. This gives you an early chance to spot terminology or formatting problems.
- Check consequential details against the original. Verify company names, dates, currencies, units, percentages, accounting and finance terms, and any negation or qualifier that could change a claim. These are prudent review checks, not results of a stock-research-specific accuracy test.
- Keep both versions together. Retain the original alongside the translation so you or another reader can review important wording in context. Do not treat an unreviewed translation as an authoritative investment conclusion.
What the available evidence cannot tell you
The cited NLLB results do not establish accuracy on analyst reports, filings, or investment decisions, and they do not show that one language pair or model build will handle a particular document well. Test a sample from your own material and review meaningful claims against the source.
The available sources also do not establish a minimum RAM, GPU, or computer specification, nor do they show performance on particular hardware. Requirements depend on the exact model and setup; do not assume you need a hardware upgrade based on the general fact that local execution is possible.
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