Computational Linguist

0 - 4 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Job Description: As a computational linguist working in Pashan, Pune on a full-time contractual basis, your role will involve utilizing your expertise in linguistics and computational linguistics. The ideal candidate for this position should possess an MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. Research publications in NLP, Semantics/Lexicology, or Discourse Studies are highly desirable. Key Responsibilities: - Proficiency in Hindi and other Indian/foreign languages, linguistic typing, and dataset/lexicon creation are essential skills required for this role. - Experience in NLP Tagging, Annotation, and ML-labelled data entry is a must. - Familiarity with Ontologies, PoS taggers, NER, and other language processing tools (English/Hindi/Other Indian Languages) is expected. - Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms is beneficial. - Lexicon Testing & Creation will be a key responsibility. - Creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software. - Collaborating within teams and proactively engaging in AI & NLP learning environments is essential. - Contributing to ML-labelled data creation and domain-specific dataset development. Qualification Required: - MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. - Research publications in NLP, Semantics/Lexicology, or Discourse Studies. - Proficiency in Hindi and other Indian/foreign languages. - Experience in NLP Tagging, Annotation, and ML-labelled data entry. - Familiarity with Ontologies, PoS taggers, NER, and other language processing tools. - Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms.,

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