Affix Nge- on Twitter Social Media ABSTRAKPembahasan pada penelitian ini mengenai perubahan bentuk afiksasi khususnya prefiks nge- media sosial Twitter. Oleh karena itu, bertujuan untuk mendeskripsikan afiks dan makna yang ada dalam unggahan oleh warganet. Metode digunakan adalah metode deskriptif kualitatif dengan data berupa kalimat mengandung sumber berasal dari Data dikumpulkan simak teknik...

It is well known that the phonological form of a word can depend on itsmorphological structure. In serial approaches, this follows naturally from the fact that words have derivational histories: morphologically complexwords undergo successive levels of phonology as they are constructed, making them eligible for different phonological processes along the way. A crucial distinction is typically m...

This paper describes our current research on the properties of derivational affixation in English. Our research arises from a more general research project, the Lexical Systems project at the IBM Thomas J. Watson Research laboratories, the goal for which is to build a variety of computerized dictionary systems for use both by people and by computer programs. An important sub-goal is to build re...

This paper presents a minimally-supervised system capable of learning Malay affixation. In particular, the algorithm we describe focuses on identifying p-similar words, and building an affix inventory using a semantic-based approach. We believe that orthographic and semantic analyzes play complementary roles in extracting morphological relationships from text corpora. Using a limited Malay corp...