Lexalytics Expands NLP Capabilities Across Foreign Languages
Lexalytics, an InMoment company and pioneer in AI-based, natural language processing (NLP) technology, announced that it has improved accuracy and expanded NLP capabilities for 11 non-English languages it supports. Now, global brands and businesses can analyze unstructured data natively and benefit from full-featured text analytics to better understand their customers and make more informed decisions across 31 total languages.
While some companies offer a range of NLP features in languages other than English, few cover the sheer number that Lexalytics supports. Many rely on machine translation before processing which can significantly decrease the accuracy of the analysis. Because Lexalytics processes text data in its native language, it can take into account specific nuances and complexities of that language, and better understand the meaning and context of the text, leading to more accurate results.
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“We work with global companies whose customers – both current and prospective – are interacting with them in dozens of languages beyond the ones commonly supported in the data analytics landscape,” said Jeff Catlin, Head of Lexalytics, an InMoment company. “We’ve always been at the forefront of providing the most depth and breadth among enterprise NLP providers, and we’re fully committed to expanding our pioneering work to offer accurate and full-featured text analytics across the most languages for our customers.”
Lexalytics has expanded feature coverage to include entities, themes, summarization, sentiment (at both the document and item level), categorization, and part-of-speech tagging for the following 11 languages: Arabic, Danish, Finnish, Hebrew, Norwegian, Polish, Russian, Swedish, Thai, Turkish and Vietnamese. Lexalytics continues to offer full-featured support for an additional 20 languages, including Croatian, Czech, Dutch, English, French, German, Hungarian, Indonesian (Bahasa Indonesia), Italian, Japanese, Korean, Malay (Bahasa Melayu), Mandarin (traditional), Mandarin (simplified), Portuguese, Romanian, Singlish (Singapore colloquial English), Slovakian, Slovenian and Spanish.
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