paper-with-me

Papers

Arabic Morphological Analyzer with Agglutinative Affix Morphemes and Fusional Concatenation Rules

2012-12-01 · COLING 2012 12 · Fadi Zaraket, Jad Makhlouta
📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

A Morphological Lexicon of Esperanto with Morpheme Frequencies

2016-05-01 · LREC 2016 5 · Eckhard Bick

This paper discusses the internal structure of complex Esperanto words (CWs). Using a morphological analyzer, possible affixation and compounding is checked for over 50,000 Esperanto lexemes against a list of 17,000 root…

POS

Uzbek affix finite state machine for stemming

2022-05-20 · Maksud Sharipov, Ulugbek Salaev

This work presents a morphological analyzer for the Uzbek language using a finite state machine. The proposed methodology is a morphologic analysis of Uzbek words by using an affix striping to find a root and without inc…

Morphological Analysis

Machine Learning of Phonologically Conditioned Noun Declensions For Tamil Morphological Generators

2014-02-14 · K. Rajan, Dr. V. Ramalingam, Dr. M. Ganesan

This paper presents machine learning solutions to a practical problem of Natural Language Generation (NLG), particularly the word formation in agglutinative languages like Tamil, in a supervised manner. The morphological…

BIG-bench Machine LearningText Generation

Syllable-level Neural Language Model for Agglutinative Language

2017-08-18 · WS 2017 9 · Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim

Language models for agglutinative languages have always been hindered in past due to myriad of agglutinations possible to any given word through various affixes. We propose a method to diminish the problem of out-of-voca…

Language ModelingLanguage Modellingmodel

Automatic Detection of Morphological Processes in the Yorùbá Language

2022-06-01 · SIGUL (LREC) 2022 6 · Tunde Adegbola

Automatic morphology induction is important for computational processing of natural language. In resource-scarce languages in particular, it offers the possibility of supplementing data-driven strategies of Natural Langu…