Results 31 to 40 of about 156,513 (141)

Tracking Typological Traits of Uralic Languages in Distributed Language Representations [PDF]

arXiv, 2017
Although linguistic typology has a long history, computational approaches have only recently gained popularity. The use of distributed representations in computational linguistics has also become increasingly popular. A recent development is to learn distributed representations of language, such that typologically similar languages are spatially close ...
arxiv  

Reconstructing Native Language Typology from Foreign Language Usage [PDF]

Proceedings of the Eighteenth Conference on Computational Language Learning , pages 21-29, Baltimore, Maryland USA, June 26-27 2014, 2014
Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for this process in the form of a strong correlation between language similarities derived from structural features in English as Second ...
arxiv  

Wicked and less wicked problems: a typology and a contingency framework

, 2017
This paper addresses shortcomings in the scholarship about ‘wicked problems’, and suggests ways of tackling them. Firstly, accounts of these problems tend to ‘totalise’, regarding them as intractable masses of complexity, so conflict-prone and/or ...
J. Alford, B. Head
semanticscholar   +1 more source

Computational Typology [PDF]

arXiv
Typology is a subfield of linguistics that focuses on the study and classification of languages based on their structural features. Unlike genealogical classification, which examines the historical relationships between languages, typology seeks to understand the diversity of human languages by identifying common properties and patterns, known as ...
arxiv  

A Typology of Decision-Making Tasks for Visualization [PDF]

arXiv
Despite decision-making being a vital goal of data visualization, little work has been done to differentiate decision-making tasks within the field. While visualization task taxonomies and typologies exist, they often focus on more granular analytical tasks that are too low-level to describe large complex decisions, which can make it difficult to ...
arxiv  

From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings [PDF]

arXiv, 2018
A core part of linguistic typology is the classification of languages according to linguistic properties, such as those detailed in the World Atlas of Language Structure (WALS). Doing this manually is prohibitively time-consuming, which is in part evidenced by the fact that only 100 out of over 7,000 languages spoken in the world are fully covered in ...
arxiv  

Semantic Typology and Efficient Communication

, 2018
Crosslinguistic research on domains including kinship, color, folk biology, number, and spatial relations has documented the different ways in which languages carve up the world into named categories.
Charles Kemp, Yang Xu, T. Regier
semanticscholar   +1 more source

Probabilistic Typology: Deep Generative Models of Vowel Inventories [PDF]

arXiv, 2017
Linguistic typology studies the range of structures present in human language. The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent. For example, all languages have vowels, while most---but not all---languages have an /u/ sound. In this paper we present the first probabilistic treatment
arxiv  

Morphological Typology in BPE Subword Productivity and Language Modeling [PDF]

arXiv
This study investigates the impact of morphological typology on tokenization and language modeling performance. We focus on languages with synthetic and analytical morphological structures and examine their productivity when tokenized using the byte-pair encoding (BPE) algorithm. We compare the performance of models trained with similar amounts of data
arxiv  

Multilingual Gradient Word-Order Typology from Universal Dependencies [PDF]

arXiv
While information from the field of linguistic typology has the potential to improve performance on NLP tasks, reliable typological data is a prerequisite. Existing typological databases, including WALS and Grambank, suffer from inconsistencies primarily caused by their categorical format.
arxiv