A lg model that generates coherent parodies of song lyrics given a topic and the lyrics of a song
Call it Weird AI (with an i, not L)
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A lg model that generates coherent parodies of song lyrics given a topic and the lyrics of a song
Call it Weird AI (with an i, not L)
Computational Linguistics: Crash Course Linguistics #15
Computers are pretty great, and we use them for different language tasks every day. But teaching computers to understand language is surprisingly difficult! In this episode of Crash Course Linguistics, we’ll learn about programming computers to process human language, which is called computational linguistics, or natural language processing. We’ll look at the types of language tasks computers can and can’t do, how natural language processing works, as well as the different types of biases that exist in machine learning.
For more on computational linguistics and natural language processing, including exercises, see this week’s issue of Mutual Intelligibility.
A series of intimate conversations could teach an AI to understand both language and culture.
An interesting article about the social process of creating machine translation datasets in Khoekhoegowab. Excerpt:
On the surface, Wilhelmina Ndapewa Onyothi Nekoto and Elfriede Gowases seem like a mismatched pair. Nekoto is a 26-year-old data scientist. Gowases is a retired English teacher in her late 60s. Nekoto, who used to play rugby in Namibia’s national league, stands about a head taller than Gowases, who is short and slight. Like nearly half of Namibians, Nekoto speaks Oshiwambo, while Gowases is one of the country’s roughly 200,000 native speakers of Khoekhoegowab.
But the women grew close over a series of working visits starting last October. At Gowases’s home, they translated sentences from Khoekhoegowab to English. Each sentence pair became another entry in a budding database of translations, which Nekoto hopes will one day power AI tools that can automatically translate between Namibia’s languages, bolstering communication and commerce within the country.
“If we can design applications that are able to translate what we’re saying in real time,” Nekoto says, “then that’s one step closer toward economic [development].” That’s one of the goals of the Masakhane project, which organizes natural language processing researchers like Nekoto to work on low-resource African languages.
Compiling a dataset to train an AI model is often a dry, technical task. But Nekoto’s self-driven project, rooted in hours of close conversation with Gowases, is anything but. Each datapoint contains fragments of cultural knowledge preserved in the stories, songs, and recipes that Gowases has translated. This information is as crucial for the success of a machine translation algorithm as the grammar and syntax embedded in the training data.
Read the whole thing.
📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴
ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…
📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴
ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…
📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴
ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…
📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴
ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…
📌Project Title: Advanced Customer Support Ticket Prioritization System using NLP Embeddings and Machine Learning.🔴
ai-ml-ds-nlp-support-ticket-prioritization-013 Filename: support_ticket_prioritization.py Timestamp: Mon Jun 02 2025 19:29:50 GMT+0000 (Coordinated Universal Time) Problem Domain:Customer Relationship Management (CRM), IT Service Management (ITSM), Natural Language Processing (NLP), Machine Learning Classification, Operations Optimization. Project Description:This project develops an…