A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content.
Miguel MenezesVera CabarrãoPedro MotaHelena MonizAlon LaviePublished in: EAMT (2022)
Keyphrases
- machine translation
- named entities
- information extraction
- natural language processing
- customer support
- named entity recognition
- question answering
- language independent
- text mining
- cross lingual
- web documents
- relation extraction
- natural language
- target language
- word sense disambiguation
- co occurrence
- text documents
- machine learning
- statistical machine translation
- cross language information retrieval
- noun phrases
- conditional random fields
- multimedia
- unsupervised learning
- customer service
- high tech
- machine translation system
- information retrieval
- wordnet
- customer satisfaction
- world wide
- cross language
- metadata
- artificial intelligence
- bilingual lexicon