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Tina Lieu
Content Consultant
14 articles
Tina specializes in product marketing and in creating content that makes concepts in natural language processing and artificial intelligence accessible, particularly as they relate to multilingual text analytics and how they are used by customers in the field. Through her previous work at Babel Street as a project manager, she has a solid grounding in multilingual search and entity extraction. Previously, she was a journalist in Tokyo and in the U.S. She is fluent in Japanese.
Articles by Tina Lieu
The Basics of Japanese Names: How They Are Chosen, Written, and Read
How Named Entity Recognition Connects the Dots for Law Enforcement and Intelligence
Challenges of Southeast Asian Languages — Tagalog, Malay, and Indonesian — for Text Analytics
Seven Tips for Choosing Name Screening Technology
Semantic Search is Remedy for Keyword Inaccuracy in E-discovery
How to Measure Accuracy of Matching Technology and What to Know Before You Buy
Why Japanese Transliteration of Foreign Names is Complex
Adapt Rosette’s Entity Extraction to Your Content for Increased Accuracy
More than Matching: Match Intelligently Matches Postal Addresses and Dates
The #1 Obstacle to Accurate Name Screening Isn’t Data: It’s Search
Evaluating NLP: Annotating Evaluation Data and Scoring Results
Evaluating NLP: Assembling a Test Dataset
Deep Learning Brings Fuzzy English-to-Japanese Matching Into Focus
