Фонетические Особенности

Key phrases are usually among the most information-bearing linguistic structures. Translating them correctly will improve many natural language processing appli- cations. We propose a new framework to mine key phrase …...

This paper presents a novel method for aligning etymological data, which mod- els context-sensitive rules governing sound change, and utilizes phonetic features of the sounds. The goal is, for a …...

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 …...

AbstractIn this paper we conduct an initial study on the dialects of Romanian. We analyze the differences between Romanian and its dialects using the Swadesh list. We analyze the predictive …...

We introduce polyglot language models, re- current neural network models trained to pre- dict symbol sequences in many different lan- guages using shared representations of sym- bols and conditioning on …...

We propose an unsupervised approach for substring-based transliteration which in- corporates two new sources of knowledge in the learning process: (i) context by learning substring mappings, as opposed to single …...

AbstractWe address the task of joint training of transliteration models for multiple language pairs (multilingual transliteration). This is an instance of multitask learning, where individual tasks (language pairs) benefit from …...

AbstractApproaching named entities transliteration as a Neural Machine Translation (NMT) problem is common practice. While many have applied various NMT techniques to enhance machine transliteration models, few focus on the …...

AbstractThe objective of this research is to estimate multidimensional subjective ratings of the reading performance of young readers from signal-based objective measures. We here combine linguistic features (number of correct …...

Chinese spelling correction (CSC) is an im- portant yet challenging task. Existing state-of- the-art methods either only use a pre-trained language model or incorporate phonological information as external knowledge. In …...