Logistic Regression for Automatic Lexical Level Morphological Paradigm Selection for Konkani Nouns
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationMorphological AnalysisregressionSimilar Papers 제목 키워드 기반
Semi-Automatic Data Annotation, POS Tagging and Mildly Context-Sensitive Disambiguation: the eXtended Revised AraMorph (XRAM)
An extended, revised form of Tim Buckwalter's Arabic lexical and morphological resource AraMorph, eXtended Revised AraMorph (henceforth XRAM), is presented which addresses a number of weaknesses and inconsistencies of th…
POSPOS TaggingA Layered Language Model based Hybrid Approach to Automatic Full Diacritization of Arabic
In this paper we present a system for automatic Arabic text diacritization using three levels of analysis granularity in a layered back off manner. We build and exploit diacritized language models (LM) for each of three …
Arabic Text DiacritizationFormLanguage ModelingLanguage Modelling+4Automatic Lexical Simplification for Turkish
In this paper, we present the first automatic lexical simplification system for the Turkish language. Recent text simplification efforts rely on manually crafted simplified corpora and comprehensive NLP tools that can an…
Lexical SimplificationSentenceText SimplificationAutomatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis
This paper presents a joint model for morphological and dependency analysis based on automatically acquired lexical knowledge. This model takes advantage of rich lexical knowledge to simultaneously resolve word segmentat…
LemmatizationMorphological AnalysisPOSSegmentationLinguistically Motivated Features for Classifying Shorter Text into Fiction and Non-Fiction Genre
This work deploys linguistically motivated features to classify paragraph-level text into fiction and non-fiction genre using a logistic regression model and infers lexical and syntactic properties that distinguish the t…
ClassificationPOSregressionSentiment Analysis+3