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This paper describes a newly developed lin- guistic error correction system, which can cor- rect errors and rejections of Japanese sentences by using linguistic knowledge. Conventional optical character readers (OCR) …...

This paper proposes a method for organizing linguistic knowledge in both systematic and flexible fashion. We introduce a purely applicative language (PAL) as an intermediate representation and an object-oriented computation …...

The development of natural language interfaces to Artifi- cial Intelligence systems is dependent on the representation of knowledge. A major impediment to building such systems has been the difficulty in …...

We present a 1000-word continuous speech recognition (CSR) system that operates in real time on a personal computer (PC). The system, designed for large vocabulary natural language tasks, makes use …...

The real difficulty in development of practical NLP systems comes from the fact that we do not have effective means for gathering "knowl- edge". In this paper, we propose an …...

This paper describes a method for finding struc- rural matching between parallel sentences of two languages, (such as Japanese and English). Par- allel sentences are analyzed based on unification grammars, …...

Anaphora,. an important indicator in lexical cohesion, is a discourse level linguistic phenomenon. Most theoretical linguistic approaches to the interpretation of anaphoric expressions propose a treatment on the basis of …...

This paper describes the results of some experiments using a new approach to information access that combines techniques from natural language process- ing and knowledge representation with a penalty- based …...

This pape clarifies the definition of alignment from the viewpoint of linguistic similarity. We propose new method for the alignment betwee the languages that do not belong to the same …...

We describe a biographical multi- document summarizer that summarizes information about people described in the news. The summarizer uses corpus statistics along with linguistic knowledge to select and merge descriptions …...

There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conventionally unknown words …...

In this position paper, I argue that in order to create truly language-independent NLP systems, we need to incorporate linguis- tic knowledge. The linguistic knowledge in question is not intricate …...

Enriching statistical models with linguis- tic knowledge has been a major concern in Machine Translation (MT). In mono- lingual data, adjuncts are optional con- stituents contributing secondarily to the meaning …...

Natural Language Processing provides a very significant contribution to various research ar- eas such as the e-health, e-business, educa- tion and antiterrorism. However, understand- ing the meaning, scope and usage …...

AbstractData augmentation aims at expanding training data with clean text using noising schemes to improve the performance of grammatical error correction (GEC). In practice, there are a great number of …...

AbstractSequence-to-sequence (seq2seq) models have been successful across many NLP tasks,including ones that require predicting linguistic structure. However, recent work on compositional generalization has shown that seq2seq models achieve very low …...

Abstract“Implicit sentiment modeling in aspect-based sentiment analysis is a challenging problem due tocomplex expressions and the lack of opinion words in sentences. Recent efforts focusing onimplicit sentiment in ABSA mostly …...