Sökning: "Natural Language Parsing"
Visar resultat 1 - 5 av 38 avhandlingar innehållade orden Natural Language Parsing.
1. Developing and Evaluating Language Tools for Writers and Learners of Swedish
Sammanfattning : Skrivande och skrivet språk är idag en viktig del av många människors liv, i datorns ordbehandlare, i e-postprogram och i chattkanaler på Internet. Skrivet språk har blivit mer eller mindre en förutsättning för människors dagliga kommunikation. Denna utveckling av samhället leder till ökade behov av att på olika sätt hantera text. LÄS MER
2. Inductive Dependency Parsing of Natural Language Text
Sammanfattning : This thesis investigates new methods for syntactic parsing of unrestricted natural language text under requirements of robustness and disambiguation. A parsing system is required to assign to every sentence in a text at least one analysis (robustness) and at most one analysis (disambiguation). LÄS MER
3. Programming Language Techniques for Natural Language Applications
Sammanfattning : It is easy to imagine machines that can communicate in natural language. Constructing such machines is more difficult. The aim of this thesis is to demonstrate how declarative grammar formalisms that distinguish between abstract and concrete syntax make it easier to develop natural language applications. LÄS MER
4. Transition-Based Natural Language Parsing with Dependency and Constituency Representations
Sammanfattning : Denna doktorsavhandling undersöker olika aspekter av automatisk syntaktisk analys av texter på naturligt språk. En parser eller syntaktisk analysator, som vi definierar den i denna avhandling, har till uppgift att skapa en syntaktisk analys för varje mening i en text på naturligt språk. LÄS MER
5. The Search for Syntax : Investigating the Syntactic Knowledge of Neural Language Models Through the Lens of Dependency Parsing
Sammanfattning : Syntax — the study of the hierarchical structure of language — has long featured as a prominent research topic in the field of natural language processing (NLP). Traditionally, its role in NLP was confined towards developing parsers: supervised algorithms tasked with predicting the structure of utterances (often for use in downstream applications). LÄS MER