Search Results for author:
Found 46 papers, 10 papers with code
A Large-Scale Study of Machine Translation in Turkic Languages
Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems.
Predictive Text for Agglutinative and Polysynthetic Languages
This paper presents a set of experiments in the area of morphological modelling and prediction.
A Universal Dependencies Treebank of Ancient Hebrew
In this paper we present the initial construction of a Universal Dependencies treebank with morphological annotations of Ancient Hebrew containing portions of the Hebrew Scriptures (1579 sentences, 27K tokens) for use in comparative study with ancient translations and for analysis of the development of Hebrew syntax.
Universal Dependencies for Western Sierra Puebla Nahuatl
We present a morpho-syntactically-annotated corpus of Western Sierra Puebla Nahuatl that conforms to the annotation guidelines of the Universal Dependencies project.
How to encode arbitrarily complex morphology in word embeddings, no corpus needed
In this paper, we present a straightforward technique for constructing interpretable word embeddings from morphologically analyzed examples (such as interlinear glosses) for all of the world’s languages.
Expanding Universal Dependencies for Polysynthetic Languages: A Case of St. Lawrence Island Yupik
This paper describes the development of the first Universal Dependencies (UD) treebank for St. Lawrence Island Yupik, an endangered language spoken in the Bering Strait region.
Dependency annotation of noun incorporation in polysynthetic languages
This paper describes an approach to annotating noun incorporation in Universal Dependencies.
Universal Dependency Treebank for Xibe
We present our work of constructing the first treebank for the Xibe language following the Universal Dependencies (UD) annotation scheme.
A corpus of K’iche’ annotated for morphosyntactic structure
This article describes a collection of sentences in K’iche’ annotated for morphology and syntax.
Investigating variation in written forms of Nahuatl using character-based language models
We describe experiments with character-based language modeling for written variants of Nahuatl.
A survey of part-of-speech tagging approaches applied to K’iche’
We study the performance of several popular neural part-of-speech taggers from the Universal Dependencies ecosystem on Mayan languages using a small corpus of 1435 annotated K’iche’ sentences consisting of approximately 10, 000 tokens, with encouraging results: F_1 scores 93%+ on lemmatisation, part-of-speech and morphological feature assignment.
A finite-state morphological analyser for Paraguayan Guaraní
We assess the efficacy of the approach on publicly available Wikipedia and Bible corpora and the naive coverage of analyser reaches 86% on Wikipedia and 91% on Bible corpora.
Handling Stress in Finite-State Morphological Analyzers for Ancient Greek and Ancient Hebrew
However, these phenomena can be modeled fairly easily if the lexicon’s internal representation is allowed to contain more information than the pure phonological form.
A Free/Open-Source Morphological Analyser and Generator for Sakha
We present, to our knowledge, the first ever published morphological analyser and generator for Sakha, a marginalised language of Siberia.
Curriculum optimization for low-resource speech recognition
Modern end-to-end speech recognition models show astonishing results in transcribing audio signals into written text.
Evaluating Multiway Multilingual NMT in the Turkic Languages
Then, we train 26 bilingual baselines as well as a multi-way neural MT (MNMT) model using the corpus and perform an extensive analysis using automatic metrics as well as human evaluations.
A Large-Scale Study of Machine Translation in the Turkic Languages
Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems.
Do RNN States Encode Abstract Phonological Alternations?
Sequence-to-sequence models have delivered impressive results in word formation tasks such as morphological inflection, often learning to model subtle morphophonological details with limited training data.
Do RNN States Encode Abstract Phonological Processes?
Sequence-to-sequence models have delivered impressive results in word formation tasks such as morphological inflection, often learning to model subtle morphophonological details with limited training data.
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
Systems were developed using data from 45 languages and just 5 language families, fine-tuned with data from an additional 45 languages and 10 language families (13 in total), and evaluated on all 90 languages.
Neural Polysynthetic Language Modelling
In the literature, languages like Finnish or Turkish are held up as extreme examples of complexity that challenge common modelling assumptions.
Improving the Language Model for Low-Resource ASR with Online Text Corpora
Previous experiments showed that transfer learning using DeepSpeech can improve the accuracy of a speech recognizer for Komi, though the error rate remained very high.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
A Finite-State Morphological Analyser for Evenki
Since a part of the corpora belongs to texts in Evenki dialects, a version of the analyser with relaxed rules is developed for processing dialectal features.
An Unsupervised Method for Weighting Finite-state Morphological Analyzers
In this paper, we have developed a method for weighting a morphological analyzer built using finite state transducers in order to disambiguate its results.
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection
Universal Dependencies is an open community effort to create cross-linguistically consistent treebank annotation for many languages within a dependency-based lexicalist framework.
Building a Morphological Analyser for Laz
This study is an attempt to contribute to documentation and revitalization efforts of endangered Laz language, a member of South Caucasian language family mainly spoken on northeastern coastline of Turkey.
A New Annotation Scheme for the Sejong Part-of-speech Tagged Corpus
In this paper we present a new annotation scheme for the Sejong part-of-speech tagged corpus based on Universal Dependencies style annotation.
A Report on the Third VarDial Evaluation Campaign
In this paper, we present the findings of the Third VarDial Evaluation Campaign organized as part of the sixth edition of the workshop on Natural Language Processing (NLP) for Similar Languages, Varieties and Dialects (VarDial), co-located with NAACL 2019.
Multi-source synthetic treebank creation for improved cross-lingual dependency parsing
This paper describes a method of creating synthetic treebanks for cross-lingual dependency parsing using a combination of machine translation (including pivot translation), annotation projection and the spanning tree algorithm.
A prototype finite-state morphological analyser for Chukchi
An error evaluation of 100 tokens randomly selected from the corpus, which were not covered by the analyser shows that most of the morphological processes are covered and that the majority of errors are caused by a limited stem lexicon.
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
Universal Dependencies
Universal Dependencies (UD) is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages.
Universal Dependencies for Turkish
The Universal Dependencies (UD) project was conceived after the substantial recent interest in unifying annotation schemes across languages.
A Finite-State Morphological Analyser for Sindhi
Morphological analysis is a fundamental task in natural-language processing, which is used in other NLP applications such as part-of-speech tagging, syntactic parsing, information retrieval, machine translation, etc.
A Finite-state Morphological Analyser for Tuvan
{\textasciitilde}This paper describes the development of free/open-source finite-state morphological transducers for Tuvan, a Turkic language spoken in and around the Tuvan Republic in Russia.
Finite-state morphological transducers for three Kypchak languages
This paper describes the development of free/open-source finite-state morphological transducers for three Turkic languages―Kazakh, Tatar, and Kumyk―representing one language from each of the three sub-branches of the Kypchak branch of Turkic.
A finite-state morphological transducer for Kyrgyz
This paper describes the development of a free/open-source finite-state morphological transducer for Kyrgyz.
Free/Open Source Shallow-Transfer Based Machine Translation for Spanish and Aragonese
The system, and the morphological analyser built for it, are both the first resources of their kind for Aragonese.
