intTypePromotion=1
zunia.vn Tuyển sinh 2024 dành cho Gen-Z zunia.vn zunia.vn
ADSENSE

Morphological and semantic features

Xem 1-4 trên 4 kết quả Morphological and semantic features
  • The article proposes the particular identification and meanings of conversion words denoting human body parts in English and Vietnamese business news so that it helps Vietnamese learners and translators efficiently use conversion words in learning as well as translating.

    pdf5p vipatriciawoertz 31-05-2022 71 4   Download

  • We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning techniques, the system uses parse action examples acquired under supervision to generate a deterministic shift-reduce parser in the form of a decision structure. It relies heavily on context, as encoded in features which describe the morphological, syntactic, semantic and other aspects of a given parse state.

    pdf8p bunthai_1 06-05-2013 52 1   Download

  • Arabic morphology is complex, partly because of its richness, and partly because of common irregular word forms, such as broken plurals (which resemble singular nouns), and nouns with irregular gender (feminine nouns that look masculine and vice versa). In addition, Arabic morphosyntactic agreement interacts with the lexical semantic feature of rationality, which has no morphological realization. In this paper, we present a series of experiments on the automatic prediction of the latent linguistic features of functional gender and number, and rationality in Arabic.

    pdf11p bunthai_1 06-05-2013 60 3   Download

  • There is a widely held belief in the natural language and computational linguistics communities that Semantic Role Labeling (SRL) is a significant step toward improving important applications, e.g. question answering and information extraction. In this paper, we present an SRL system for Modern Standard Arabic that exploits many aspects of the rich morphological features of the language. The experiments on the pilot Arabic Propbank data show that our system based on Support Vector Machines and Kernel Methods yields a global SRL F1 score of 82.

    pdf9p hongphan_1 15-04-2013 49 2   Download

CHỦ ĐỀ BẠN MUỐN TÌM

ADSENSE

nocache searchPhinxDoc

 

Đồng bộ tài khoản
2=>2