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This paper describes a system that attempts to interpret descriptive texts without the uJe of complex grammars. The purpose of the system is to transform the descriptions to a standard …...

This paper presents a practical foreign language writing support tool which makes it much easier to utilize dictionary and example sentence resources. Like a Kana-Kanji conversion front-end processor used to …...

. We built a morphological analyzer, which can be freely used by anyone for research purpose. In order to build a pratical system, a dictionary with reasonable size is necessary. …...

Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches of- ten employ machine learning techniques and require supervised data. However, many languages lack …...

This paper presents the task definition, re- sources, and the single participant system for Task 12: Turkish Lexical Sample Task (TLST), which was organized in the Se- mEval-2007 evaluation exercise. …...

We describe two systems participating in Semeval-2010’s Cross-Lingual Lexical Substitution task: USPwlv and WLVusp. Both systems are based on two main com- ponents: (i) a dictionary to provide a num- …...

Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors in- voke an integer programming …...

Features for Robust Cross-Domain Chinese Word Segmentation LI Xiaoqing1, WANG Kun1, ZONG Chengqing1 and SU Keh-Yih2 (1) National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, …...

AbstractSynthetic word analysis is a potentially important but relatively unexplored problem in Chinese natural language processing. Two issues with the conventional pipeline methods involving word segmentation are (1) the lack …...

AbstractAt CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select …...

We present a simple, yet effective approach to adapt part-of-speech (POS) taggers to new domains. Our approach only requires a dic- tionary and large amounts of unlabeled tar- get data. …...

AbstractNamed Entity Disambiguation (NED) is the task of linking a named-entity mention to an instance in a knowledge-base, typically Wikipedia-derived resources like DBpedia. This task is closely related to word-sense …...

AbstractGiven a rough, word-by-word gloss of a source language sentence, target language natives can uncover the latent, fully-fluent rendering of the translation. In this work we explore this intuition by …...

AbstractNews framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation. In NLP, although recent works have studied framing …...