Checking in on grammar checking

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards Automating Grammar Equivalence Checking

We consider from practical perspective the (generally undecidable) problem of checking equivalence of context-free grammars. We present both techniques for proving equivalence, as well as techniques for finding counter-examples that establish non-equivalence. Among the key building blocks of our approach is a novel algorithm for efficiently enumerating and sampling words and parse trees from ar...

متن کامل

Arboretum: Using a precision grammar for grammar checking in CALL

We present a tutorial system for language learners, using a computational grammar augmented with mal-rules for analysis, error diagnosis, and semantics-centered generation of corrected forms. Corrections are produced using a novel strategy of

متن کامل

Grammar checking for Swedish second language learners

Grammar errors and context-sensitive spelling errors in texts written by second language learners are hard to detect automatically. We have used three different approaches for grammar checking: manually constructed error detection rules, statistical differences between correct and incorrect texts, and machine learning of specific error types. The three approaches have been evaluated using a cor...

متن کامل

A Grammar Checking System for Punjabi

This article provides description about the grammar checking system developed for detecting various grammatical errors in Punjabi texts. This system utilizes a fullform lexicon for morphological analysis, and applies rule-based approaches for part-of-speech tagging and phrase chunking. The system follows a novel approach of performing agreement checks at phrase and clause levels using the gramm...

متن کامل

Positive Grammar Checking: A Finite State Approach

This paper reports on the development of a finite state system for finding grammar errors without actually specifying the error. A corpus of Swedish text written by children served as the data. Errors are more frequent and the distribution of the error types is different than for adult writers. Our approach (following Karttunen et al. [9]) for finding errors involves developing automata that re...

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

ژورنال

عنوان ژورنال: Natural Language Engineering

سال: 2016

ISSN: 1351-3249,1469-8110

DOI: 10.1017/s1351324916000061