Sökning: "multilingual NLP"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden multilingual NLP.
1. Multilingual Grammars and Universal Dependencies
Sammanfattning : Abstract syntax trees are an alternative representation to syntactic structures commonly found in NLP systems. This representation allows for sharing of structures across languages, making it well suited to serve as a translation interlingua. LÄS MER
2. Linguistically Informed Neural Dependency Parsing for Typologically Diverse Languages
Sammanfattning : This thesis presents several studies in neural dependency parsing for typologically diverse languages, using treebanks from Universal Dependencies (UD). The focus is on informing models with linguistic knowledge. LÄS MER
3. Language Engineering in Grammatial Framework (GF)
Sammanfattning : The basis for the work presented is Grammatical Framework (GF)a grammarformalism based on type theory. It is also a powerful language processorthat provides a convenient framework for various multilingual applications.The primary concern of this thesis is the usage of GF as a piece of software. LÄS MER
4. Contributions to Shallow Discourse Parsing : To English and beyond
Sammanfattning : Discourse is a coherent set of sentences where the sequential reading of the sentences yields a sense of accumulation and readers can easily follow why one sentence follows another. A text that lacks coherence will most certainly fail to communicate its intended message and leave the reader puzzled as to why the sentences are presented together. 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