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Benchmark on Arabic Embeddings for Topic Modeling

Benchmark on Arabic Embeddings for Topic Modeling

Feb 16, 2023 | Arabic, Core NLP for AI engines, Lemmatization, NLP, Synthetic data, Word embeddings

The impact of lemmatization for morphologically-rich languages Abstract Are there ways to improve the performance of language models, beyond increases in size -both in the number of model parameters or in the size of training corpora? Our benchmarks show that another...
Unstructured Synthetic Text. Beyond tabular data

Unstructured Synthetic Text. Beyond tabular data

Oct 7, 2022 | Chatbots, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

The case for evaluation of NLU platforms Synthetic image and video have proven to be a big success for cost-cutting. Synthetic text is following suit: tabular data (that is the data organized in a table with rows and columns) is becoming mainstream already, and the...
Multilingual Synthetic Training Data For Intent Detection

Multilingual Synthetic Training Data For Intent Detection

Oct 6, 2022 | Chatbots, Core NLP for AI engines, Generative AI, NLP, Stemming, Synthetic data, text analysis

What Is Synthetic training data? Synthetic Training data is the data that is used to train an NLU engine. An NLU engine allows chatbots to understand the intent of user queries. The training data is enriched by data labeling or data annotation, with information about...
How to change your order in 10,000  different ways

How to change your order in 10,000 different ways

Feb 15, 2022 | Chatbots, conversational, Core NLP for AI engines, NLP, Synthetic data, text analysis

How Synthetic Text can solve your training and evaluation problems for your virtual assistants / chatbots When shopping online, customers frequently have the need to modify their order: exchanging an item in the basket, deleting something already added… Customers ask...
Why Linguistics for Text Analysis?

Why Linguistics for Text Analysis?

Sep 17, 2021 | Chatbots, Machine Learning, NLP, Synthetic data, text analysis

In previous posts, we have outlined the crucial role of Machine Learning for Analytics (in How to Make Machine Learning more Effective using Linguistic Analysis?), and the implications of using Machine Learning for analyzing and structuring text (in How Phrase...
How to Make Machine Learning more Effective using Linguistic Analysis

How to Make Machine Learning more Effective using Linguistic Analysis

Sep 3, 2021 | Chatbots, Machine Learning, NLP, Synthetic data, text analysis

Text analysis is becoming a pervasive task in many business areas. Machine Learning is the most common approach used in text analysis, and is based on statistical and mathematical models.  Linguistic approaches, which are based on knowledge of language and its...
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Recent Posts

  • Benchmark on Arabic Embeddings for Topic Modeling
  • Unstructured Synthetic Text. Beyond tabular data
  • Multilingual Synthetic Training Data For Intent Detection
  • NLP for Arabic – The case of lemmatization
  • How to change your order in 10,000 different ways

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