Syntactic parsing is the automatic analysis of syntactic structure of natural language, especially syntactic relations (in dependency grammar) and labelling Syntactic parsing is the automatic analysis of syntactic structure of natural language, especially syntactic relations (in dependency grammar) and labelling spans of constituents (in constituency grammar). It is motivated by the problem of structural ambiguity in natural language: a sentence can be assigned multiple grammatical parses, so some kind of knowledge beyond computational grammar rules i Syntactic parsing is the automatic analysis of syntactic structure of natural language, especially syntactic relations (in dependency grammar) and labelling spans of constituents (in constituency grammar). It is motivated by the problem of structural ambiguity in natural language: a sentence can be assigned multiple grammatical parses, so some kind of knowledge beyond computational grammar rules is needed to tell which parse is intended. Syntactic parsing is one of the important tasks in computational linguistics and natural language processing, and has been a subject of research since the mid-20th century with the advent of computers. Different theories of grammar propose different formalisms for describing the syntactic structure of sentences. For computational purposes, these formalisms can be grouped under constituency grammars and dependency grammars. Parsers for either class call for different types of algorithms, and approaches to the two problems have taken different forms. The creation of human-annotated treebanks using various formalisms (e.g. Universal Dependencies) has proceeded alongside the development of new algorithms and methods for parsing. Part-of-speech tagging (which resolves some semantic ambiguity) is a related problem, and often a prerequisite for or a subproblem of syntactic parsing. Syntactic parses can be used for information extraction (e.g. event parsing, semantic role labelling, entity labelling) and may be further used to extract formal semantic representations.

Computer-assisted analysis of written language: assessing the written language of deaf children. Methods for assessing the written language of deaf students are reviewed. The merits and shortcomings of various objective indicators that have traditionally been used are discussed. These include various measures of total output, such as total number of words or sentences, and simple measures of diversity of usage such as the type-token ratio. There have been several attempts in recent years to include objective measures of syntactic complexity as part of an overall language assessment program. The use of a computer to assist teachers in the derivation of such syntactic measures is described. Two illustrative examples are provided. The first shows how the computer system performs a detailed syntactic analysis on a typical sentence taken from the written language of a deaf child. The second example shows how the system provides a summary analysis of several sentences in a theme. A statistical count of the syntactic forms used in the written language sample is provided at the end of the analysis. Published in Journal of communication disorders (1978)

This study was conducted to measure the syntactic complexity and language proficiency of married immigrant women. This study also discusses the correlation between the index measuring syntactic complexity and learner variables. The main purpose of this research was to categorize the length of sentences, sentence extensions, and sentence extension types in order to measure syntactic complexity. Thus, this study was designed to establish a proper index for each category. As a result of this research, it was discovered that both sentence length and extension increased quantitatively according to improvements in proficiency. However, there was a limitation in utilizing various forms of grammar in sentence extensions. Differing from the general tendency of the equality index to decrease along with improvements in proficiency, married immigrant women showed the opposite result. This study determined that the difference was a result of the language acquisition environment. In addition, the proficiency of married immigrant women appeared to be significantly related to all indexes that measured syntactic complexity. However, the residence and learning periods for language did not display significant results on the equality index. Lastly, the significance of this research is that it critically reviewed biased viewpoints present in other research studies, which focused on the interlanguage error analysis of married immigrant women rather than investigating the development of interlangua