Natural Language Processing

Text, speech, translation, and retrieval with modern NLP techniques.

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thenewstack.io > cohere-north-translate-sovereignty

“Machine translation is still broken for most of the world's languages”: Cohere builds non-reasoning for a reason

1+ day, 3+ hour ago   (203+ words) Cohere's North Small Translate beats DeepL and Google Translate on WMT26 across 50 languages — but commercial use requires a Model Vault license....


unite.ai > what-are-embeddings-how-ai-represents-meaning-as-numbers

What Are Embeddings? How AI Represents Meaning as Numbers

2+ week, 1+ day ago   (1027+ words) Embeddings are dense numerical vectors learned so that items with useful semantic or behavioral relationships occupy nearby regions of a representation space. This guide explains the mechanism, trade-offs, evaluation, and controls that matter in practice. Embeddings deserves a precise explanation…...


medium.com > @s.aditya1317 > stemming-vs-lemmatization-which-nlp-technique-should-you-use-53946a535904

Stemming vs Lemmatization: Which NLP Technique Should You Use?

1+ day, 3+ hour ago   (770+ words) When working with text, the same word can appear in many forms. For example: connect connected connecting connection To a human, these …...


medium.com > @adarsh.ds > rnn-vs-lstm-vs-gru-for-sequential-data-7de00587d2f1

RNN vs LSTM vs GRU for Sequential Data

1+ day, 8+ hour ago   (460+ words) A simple guide to understanding RNN, LSTM, and GRU, how they work, their differences, and where to use them. Sequential data is data where the order of …...


medium.com > @piyas.de > vectors-how-numbers-turns-meaning-into-direction-e5871bb7ac8f

Vectors: How Numbers Turns Meaning Into Direction

1+ day, 10+ hour ago   (1288+ words) When we say -’ The boy is playing in the garden.’ we see words. Now a language model can only interpret numbers. Before an AI system can compare …...


bioengineer.org > new-ai-framework-turns-thousands-of-product-reviews-into-balanced-bias-resistant-summaries

New AI Framework Turns Thousands of Product Reviews Into Balanced,

1+ day, 13+ hour ago   (55+ words) Online shoppers scrolling through a popular product on a major e-commerce platform may face thousands of customer reviews, each expressing a slightly different opinion about quality, price, delivery, durability, or customer service. Reading them all is impossible, and the automated…...


dev.to > ashish_sinha_5241c7673d93 > i-described-1245-tables-with-an-llm-and-retrieval-got-worse-58a

I described 1,245 tables with an LLM and retrieval got worse

1+ day, 18+ hour ago   (1126+ words) The cataloguing step is supposed to be the easy win. You have a schema whose tables are called ecm_template_link and v_pmpm, your users ask questions in English, and the gap between those two vocabularies is why retrieval misses. So you point a…...


dev.to > shrsv > bpe-style-tokenizers-the-small-algorithm-that-decides-what-an-llm-can-see-2a72

BPE-Style Tokenizers: The Small Algorithm That Decides What an LLM Can See

1+ day, 22+ hour ago   (1289+ words) Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review... Tagged with ai, webdev, programming, productivity....


bioengineer.org > spherical-topic-models-bring-coherence-to-short-text-machine-learning

Spherical Topic Models Bring Coherence to Short-Text Machine Learning

1+ day, 18+ hour ago   (55+ words) Probabilistic topic models have long served as one of the workhorses of text mining, offering a statistical lens through which vast collections of documents can be organized into interpretable themes. From latent Dirichlet allocation onward, these models have assumed that…...


medium.com > @sangavi2205 > day-7-dot-product-cosine-similarity-and-how-machines-measure-similarity-bc38b6a24e7a

Day 7: Dot Product & Cosine Similarity, and How Machines Measure Similarity

1+ day, 18+ hour ago   (47+ words) Part 7 of a 50-day journey from zero to building AI agents. Picking up from yesterday Yesterday we treated vectors as just …...