**Company: Confidential Job Description Summary: The AI/NLP Linguistics Analyst will be responsible for tasks such as annotation, creating grammar rules, formulating language templates, and improving AI/NLP efforts by analyzing patterns and historical data. Qualifications include native fluency in Japanese, proficiency in English, understanding of linguistic concepts, knowledge of technology landscape, attention to detail, independence in work, strong communication skills, and formal linguistic education is a plus. Nice to haves include experience with NLP tools, annotation work, formal linguistics, complex tools, programming knowledge, and experience in testing and data management. Job Description: The AI/NLP Linguistics Analyst will be in charge of annotation, creation of grammar rules, formulation of language templates, and finding and evaluating patterns and historical data for the improvement of our partner client’s efforts in AI/NLP (natural language programming). Qualifications: • Native fluency in Japanese and business-level proficiency in English. • Solid and comprehensive understanding of the formal aspects of the target language (e.g. grammar, parts of speech, formal/casual/dialects) • Knowledge/awareness of linguistic terms and concepts • Good understanding and interest in the current technology landscape: IT & computing, AI, machine learning, voice assistants, internet of things • Grasping technical concepts and learning new tools • Excellent attention to detail • Ability to work independently with confidence and little oversight • Excellent oral and written communication skills • Formal linguistic education is a plus Nice to haves: • Experience using NLP tools and… concepts • Experience in annotation work • Knowledge of formal linguistics • Working knowledge of complex tools, e.g. CMS, SQL, Advanced Excel/Sheets • Some knowledge of programming/coding (e.g. Python, R, regular expressions) • Experience in testing, data processing, database management
Company:Confidential
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
