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Found 27 papers, 0 papers with code
Automatic Reconstruction of Missing Romanian Cognates and Unattested Latin Words
Producing related words is a key concern in historical linguistics.
Automatic Identification and Production of Related Words for Historical Linguistics
We apply our method to multiple data sets, showing that our approach improves on previous results, also having the advantage of requiring less input data, which is essential in historical linguistics, where resources are generally scarce.
Studying Laws of Semantic Divergence across Languages using Cognate Sets
Semantic divergence in related languages is a key concern of historical linguistics.
Classifier Ensembles for Dialect and Language Variety Identification
In this paper we present ensemble-based systems for dialect and language variety identification using the datasets made available by the organizers of the VarDial Evaluation Campaign 2018.
Simulating Language Evolution: a Tool for Historical Linguistics
Language change across space and time is one of the main concerns in historical linguistics.
Ab Initio: Automatic Latin Proto-word Reconstruction
Proto-word reconstruction is central to the study of language evolution.
German Dialect Identification Using Classifier Ensembles
In this paper we present the GDI_classification entry to the second German Dialect Identification (GDI) shared task organized within the scope of the VarDial Evaluation Campaign 2018.
Discriminating between Indo-Aryan Languages Using SVM Ensembles
In this paper we present a system based on SVM ensembles trained on characters and words to discriminate between five similar languages of the Indo-Aryan family: Hindi, Braj Bhasha, Awadhi, Bhojpuri, and Magahi.
ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes
Semantic difference detection attempts to capture whether a word is a discriminative attribute between two other words.
Native Language Identification on Text and Speech
This paper presents an ensemble system combining the output of multiple SVM classifiers to native language identification (NLI).
Including Dialects and Language Varieties in Author Profiling
This paper presents a computational approach to author profiling taking gender and language variety into account.
Vanilla Classifiers for Distinguishing between Similar Languages
In this paper we describe the submission of the UniBuc-NLP team for the Discriminating between Similar Languages Shared Task, DSL 2016.
A Computational Perspective on the Romanian Dialects
In this paper we conduct an initial study on the dialects of Romanian.
Building a Dataset of Multilingual Cognates for the Romanian Lexicon
Identifying cognates is an interesting task with applications in numerous research areas, such as historical and comparative linguistics, language acquisition, cross-lingual information retrieval, readability and machine translation.
On the Romance Languages Mutual Intelligibility
We propose a method for computing the similarity of natural languages and for clustering them based on their lexical similarity.
Using a machine learning model to assess the complexity of stress systems
We address the task of stress prediction as a sequence tagging problem.
