Language-Based Environment For Natural Language Parsing

نویسندگان

  • Aarno Lehtola
  • Harri Jäppinen
  • Esa Nelimarkka
چکیده

This paper introduces a special programming environment for the definition of grammars and for the implementation of corresponding parsers. In natural language processing systems it is advantageous to have linguistic knowledge and processing mechanisms separated. Our environment accepts grammars consisting of binary dependency relations and grammatical functions. Well-formed expressions of functions and relations provide constituent surroundings for syntactic categories in the form of two-way automata. These relations, functions, and automata are described in a special definition language. In focusing on high level descriptions a linguist may ignore computational details of the parsing process. He writes the grammar into a DPL-description and a compiler translates it into efficient LISP-code. The environment has also a tracing facility for the parsing process, grammar-sensitive lexical maintenance programs, and routines for the interactive graphic display of parse trees and grammar definitions. Translator routines are also available for the transport of compiled code between various LISP-dialects. The environment itself exists currently in INTERLISP and FRANZLISP. This paper focuses on knowledge engineering issues and does not enter linguistic argumentation.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An improved joint model: POS tagging and dependency parsing

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

متن کامل

برچسب‌زنی خودکار نقش‌های معنایی در جملات فارسی به کمک درخت‌های وابستگی

Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...

متن کامل

تأثیر ساخت‌واژه‌ها در تجزیه وابستگی زبان فارسی

Data-driven systems can be adapted to different languages and domains easily. Using this trend in dependency parsing was lead to introduce data-driven approaches. Existence of appreciate corpora that contain sentences and theirs associated dependency trees are the only pre-requirement in data-driven approaches. Despite obtaining high accurate results for dependency parsing task in English langu...

متن کامل

System Demonstration Natural Language Generation With Abstract Machine

We present a system for Natural Language Generation based on an Abstract Machine approach. Our abstract machine operates on grammars encoded in a uni cation-based Typed Feature Structure formalism, and is capable of both generation and parsing. For e cient generation, grammars are rst inverted to a suitable form, and then compiled into abstract machine instructions. A dual compiler translates t...

متن کامل

GALENA: Tabular DCG Parsing for Natural Languages

We present a deenite clause based parsing environment for natural languages, whose operational model is the dynamic interpretation of logical push-down automata. We attempt to brieey explain our design decisions in terms of a set of properties that practical natural language processing systems should incorporate. The aim is to show both the advantages and the drawbacks of our approach.

متن کامل

Method and Means of Development of Context-Free Grammars for Natural Language Parsers

We discuss the requirements for the system that performs the analysis of natural language at the syntactic level. We also present the environment that allows development of context-free grammars for natural language parsers. The environment was tested for Spanish language, resulting on the development of a Spanish morphological analyzer. The environment gives the user the possibilities to devel...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1985