NLP Infrastructure for the Lithuanian Language
The Information System for Syntactic and Semantic Analysis of the Lithuanian language (lith. Lietuvi{\k{u}} kalbos sintaksin{\.e}s ir semantin{\.e}s analiz{\.e}s informacin{\.e} sistema, LKSSAIS) is the first infrastructure for the Lithuanian language combining Lithuanian language tools and resources for diverse linguistic research and applications tasks. It provides access to the basic as well as advanced natural language processing tools and resources, including tools for corpus creation and management, text preprocessing and annotation, ontology building, named entity recognition, morphosyntactic and semantic analysis, sentiment analysis, etc. It is an important platform for researchers and developers in the field of natural language technology.
Code (0)
등록된 구현이 없습니다.
Tasks
Managementnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Sentiment AnalysisSimilar Papers 제목 키워드 기반
Identification of Multiword Expressions for Latvian and Lithuanian: Hybrid Approach
We discuss an experiment on automatic identification of bi-gram multi-word expressions in parallel Latvian and Lithuanian corpora. Raw corpora, lexical association measures (LAMs) and supervised machine learning (ML) are…
BIG-bench Machine LearningPOSSentiment Analysis of Lithuanian Online Reviews Using Large Language Models
Sentiment analysis is a widely researched area within Natural Language Processing (NLP), attracting significant interest due to the advent of automated solutions. Despite this, the task remains challenging because of the…
Sentiment AnalysisLatvian and Lithuanian Named Entity Recognition with TildeNER
In this paper the author presents TildeNER ― an open source freely available named entity recognition toolkit and the first multi-class named entity recognition system for Latvian and Lithuanian languages. The system i…
Machine Translationnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)Towards Lithuanian grammatical error correction
Everyone wants to write beautiful and correct text, yet the lack of language skills, experience, or hasty typing can result in errors. By employing the recent advances in transformer architectures, we construct a grammat…
Grammatical Error CorrectionGTCOM Neural Machine Translation Systems for WMT19
This paper describes the Global Tone Communication Co., Ltd.{'}s submission of the WMT19 shared news translation task. We participate in six directions: English to (Gujarati, Lithuanian and Finnish) and (Gujarati, Lithua…
Knowledge DistillationLanguage ModelingLanguage ModellingMachine Translation+2