Joint learning of morphological segmentation, morpheme tagging, part-of-speech tagging, and dependency parsing

Download

index.pdf

Date

2020

Author

Aleçakır, Hüseyin.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

294
views

164
downloads

In agglutinating languages, there is a strong relationship between morphology and syntax. Inflectional and derivational suffixes have a significant role while determining the syntactic role of the word in the sentence. This connection enables the joint learning of morphology and syntax. Apart from that, the complex morphology poses a sparsity problem. In this respect, morphological analysis and segmentation are vital for various natural language processing applications. All of these have provided the primary motivation to develop a joint learning model for morphological segmentation, morphological tagging, part-of-speech (POS) tagging, and dependency parsing. The proposed model consists of a multi-layered neural network structure. In each level, there is a bidirectional long-short memory unit (BiLSTM) to encode sequential information. Additionally, attention networks are used to compute soft alignment between encoder-decoder states in the morphological tagging component. Finally, the obtained results from each layer of the network are compared with other works from the literature. The results are very competitive on Universal Dependencies (UD) dataset.

Subject Keywords

Dependency (Psychology)., Dependency Parsing, Part of Speech Tagging, Syntax, Morphology, Deep Learning

URI

http://etd.lib.metu.edu.tr/upload/12625299/index.pdf
https://hdl.handle.net/11511/45550

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Natural language query processing in ontology based multimedia databases Aygül, Filiz Alaca; Çiçekli, Fehime Nihan; Department of Computer Engineering (2010) In this thesis a natural language query interface is developed for semantic and spatio-temporal querying of MPEG-7 based domain ontologies. The underlying ontology is created by attaching domain ontologies to the core Rhizomik MPEG-7 ontology. The user can pose concept, complex concept (objects connected with an “AND” or “OR” connector), spatial (left, right . . . ), temporal (before, after, at least 10 minutes before, 5 minutes after . . . ), object trajectory and directional trajectory (east, west, southe...
Improvement of corpus-based semantic word similarity using vector space model Esin, Yunus Emre; Alpaslan, Ferda Nur; Department of Computer Engineering (2009) This study presents a new approach for finding semantically similar words from corpora using window based context methods. Previous studies mainly concentrate on either finding new combination of distance-weight measurement methods or proposing new context methods. The main di fference of this new approach is that this study reprocesses the outputs of the existing methods to update the representation of related word vectors used for measuring semantic distance between words, to improve the results further. ...
Single exponent in l1 multiple exponents in l2: consequences for l2 Kurumlu, Zehra; Gracanın Yüksek, Martına; Department of English Language Teaching (2013) The thesis hypothesized that when an exponent of a linguistic concept in the native language maps onto several different exponents in the target language, learners have difficulty when acquiring those structures in the target language. By contrast, when an exponent of a linguistic concept in the native language and its counterpart in the target language stand in a one-to-one correspondence, the possibility of making errors decreases to a considerable extent. In order to test this hypothesis, I examined thre...
A Dependency grammar based semantics for copular comparatives Köksal, Asiye Tuba; Özge, Umut; Department of Cognitive Sciences (2019) Comparative constructions are rich in semantic content, which makes them important for natural language understanding research and technology. A widely used grammar formalism and parser is The Stanford Dependency scheme which aims to provide a simple and strightforward description of grammatical relations. The Universal Dependecies project extends this aim to reach cross-linguistically consistent annotations for many languages. For some complicated constructions like comparatives,a more syntactically motiva...
The processing of morphologically complex words by developing readers of Turkish: a masked priming study Oğuz, Enis; Kırkıcı, Bilal (2022-11-01) The processing of morphologically complex words has been studied in many languages, leading to a variety of theoretical accounts. Prime type, individual differences, and cross-linguistic effects have emerged as potential factors in morphological processing, but the findings so far have been inconclusive, especially for young children. This study investigated the early stages of morphological processing in Turkish-speaking children using the visual masked priming paradigm. We used different prime conditions ...

Citation Formats

H. Aleçakır, “Joint learning of morphological segmentation, morpheme tagging, part-of-speech tagging, and dependency parsing,” Thesis (M.S.) -- Graduate School of Informatics. Cognitive Sciences., Middle East Technical University, 2020.