Cognate Identification
Related Papers
Cognate Identification for a French - Romanian Lexical Alignment System: Empirical Study
This paper describes a cognate identifica- tion method, used by a lexical alignment system for French and Romanian. We combine statistical techniques and lin- guistic information to extract cognates from …...
Automatic cognate identification with gap-weighted string subsequences.
In this paper, we describe the problem of cog- nate identification in NLP. We introduce the idea of gap-weighted subsequences for dis- criminating cognates from non-cognates. We also propose a …...
Detecting English-French Cognates Using Orthographic Edit Distance
Identification of cognates is an important component of computer assisted second language learning systems. We present a simple rule-based system to recognize cognates in English text from the perspec- tive …...
Overview of the 2015 ALTA Shared Task: Identifying French Cognates in English Text
This paper presents an overview of the 6th ALTA shared task that ran in 2015. The task was to identify in English texts all the potential cognates from the per- …...
Siamese Convolutional Networks for Cognate Identification
AbstractIn this paper, we present phoneme level Siamese convolutional networks for the task of pair-wise cognate identification. We represent a word as a two-dimensional matrix and employ a siamese convolutional …...
Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists
AbstractMost current approaches in phylogenetic linguistics require as input multilingual word lists partitioned into sets of etymologically related words (cognates). Cognate identification is so far done manually by experts, which …...
Cross-Family Similarity Learning for Cognate Identification in Low-Resource Languages
AbstractWe address the problem of cognate identification across vocabulary pairs of any set of languages. In particular, we focus on the case where the examined pair of languages are low-resource …...
Combining Noisy Semantic Signals with Orthographic Cues: Cognate Induction for the Indic Dialect Continuum
AbstractWe present a novel method for unsupervised cognate/borrowing identification from monolingual corpora designed for low and extremely low resource scenarios, based on combining noisy semantic signals from joint bilingual spaces …...