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15,302 | Semantic Measures for the Comparison of Units of Language, Concepts or
Instances from Text and Knowledge Base Analysis | cs.CL | Semantic measures are widely used today to estimate the strength of the
semantic relationship between elements of various types: units of language
(e.g., words, sentences, documents), concepts or even instances semantically
characterized (e.g., diseases, genes, geographical locations). Semantic
measures play an importa... | computer science |
15,303 | A State of the Art of Word Sense Induction: A Way Towards Word Sense
Disambiguation for Under-Resourced Languages | cs.CL | Word Sense Disambiguation (WSD), the process of automatically identifying the
meaning of a polysemous word in a sentence, is a fundamental task in Natural
Language Processing (NLP). Progress in this approach to WSD opens up many
promising developments in the field of NLP and its applications. Indeed,
improvement over c... | computer science |
15,304 | Local Feature or Mel Frequency Cepstral Coefficients - Which One is
Better for MLN-Based Bangla Speech Recognition? | cs.CL | This paper discusses the dominancy of local features (LFs), as input to the
multilayer neural network (MLN), extracted from a Bangla input speech over mel
frequency cepstral coefficients (MFCCs). Here, LF-based method comprises three
stages: (i) LF extraction from input speech, (ii) phoneme probabilities
extraction usi... | computer science |
15,305 | Evolution of the Modern Phase of Written Bangla: A Statistical Study | cs.CL | Active languages such as Bangla (or Bengali) evolve over time due to a
variety of social, cultural, economic, and political issues. In this paper, we
analyze the change in the written form of the modern phase of Bangla
quantitatively in terms of character-level, syllable-level, morpheme-level and
word-level features. W... | computer science |
15,306 | Named entity recognition using conditional random fields with non-local
relational constraints | cs.CL | We begin by introducing the Computer Science branch of Natural Language
Processing, then narrowing the attention on its subbranch of Information
Extraction and particularly on Named Entity Recognition, discussing briefly its
main methodological approaches. It follows an introduction to state-of-the-art
Conditional Rand... | computer science |
15,307 | ARKref: a rule-based coreference resolution system | cs.CL | ARKref is a tool for noun phrase coreference. It is a deterministic,
rule-based system that uses syntactic information from a constituent parser,
and semantic information from an entity recognition component. Its architecture
is based on the work of Haghighi and Klein (2009). ARKref was originally
written in 2009. At t... | computer science |
15,308 | Description and Evaluation of Semantic Similarity Measures Approaches | cs.CL | In recent years, semantic similarity measure has a great interest in Semantic
Web and Natural Language Processing (NLP). Several similarity measures have
been developed, being given the existence of a structured knowledge
representation offered by ontologies and corpus which enable semantic
interpretation of terms. Sem... | computer science |
15,309 | A Comparative Study on Linguistic Feature Selection in Sentiment
Polarity Classification | cs.CL | Sentiment polarity classification is perhaps the most widely studied topic.
It classifies an opinionated document as expressing a positive or negative
opinion. In this paper, using movie review dataset, we perform a comparative
study with different single kind linguistic features and the combinations of
these features.... | computer science |
15,310 | Using Robust PCA to estimate regional characteristics of language use
from geo-tagged Twitter messages | cs.CL | Principal component analysis (PCA) and related techniques have been
successfully employed in natural language processing. Text mining applications
in the age of the online social media (OSM) face new challenges due to
properties specific to these use cases (e.g. spelling issues specific to texts
posted by users, the pr... | computer science |
15,311 | Identifying Purpose Behind Electoral Tweets | cs.CL | Tweets pertaining to a single event, such as a national election, can number
in the hundreds of millions. Automatically analyzing them is beneficial in many
downstream natural language applications such as question answering and
summarization. In this paper, we propose a new task: identifying the purpose
behind elector... | computer science |
15,312 | Authorship Attribution Using Word Network Features | cs.CL | In this paper, we explore a set of novel features for authorship attribution
of documents. These features are derived from a word network representation of
natural language text. As has been noted in previous studies, natural language
tends to show complex network structure at word level, with low degrees of
separation... | computer science |
15,313 | Cornell SPF: Cornell Semantic Parsing Framework | cs.CL | The Cornell Semantic Parsing Framework (SPF) is a learning and inference
framework for mapping natural language to formal representation of its meaning. | computer science |
15,314 | HEVAL: Yet Another Human Evaluation Metric | cs.CL | Machine translation evaluation is a very important activity in machine
translation development. Automatic evaluation metrics proposed in literature
are inadequate as they require one or more human reference translations to
compare them with output produced by machine translation. This does not always
give accurate resu... | computer science |
15,315 | Automatic Ranking of MT Outputs using Approximations | cs.CL | Since long, research on machine translation has been ongoing. Still, we do
not get good translations from MT engines so developed. Manual ranking of these
outputs tends to be very time consuming and expensive. Identifying which one is
better or worse than the others is a very taxing task. In this paper, we show
an appr... | computer science |
15,316 | Build Electronic Arabic Lexicon | cs.CL | There are many known Arabic lexicons organized on different ways, each of
them has a different number of Arabic words according to its organization way.
This paper has used mathematical relations to count a number of Arabic words,
which proofs the number of Arabic words presented by Al Farahidy. The paper
also presents... | computer science |
15,317 | A Short Introduction to NILE | cs.CL | In this paper, we briefly introduce the Narrative Information Linear
Extraction (NILE) system, a natural language processing library for clinical
narratives. NILE is an experiment of our ideas on efficient and effective
medical language processing. We introduce the overall design of NILE and its
major components, and s... | computer science |
15,318 | Learning Semantic Representations for the Phrase Translation Model | cs.CL | This paper presents a novel semantic-based phrase translation model. A pair
of source and target phrases are projected into continuous-valued vector
representations in a low-dimensional latent semantic space, where their
translation score is computed by the distance between the pair in this new
space. The projection is... | computer science |
15,319 | Towards Structural Natural Language Formalization: Mapping Discourse to
Controlled Natural Language | cs.CL | The author describes a conceptual study towards mapping grounded natural
language discourse representation structures to instances of controlled
language statements. This can be achieved via a pipeline of preexisting state
of the art technologies, namely natural language syntax to semantic discourse
mapping, and a redu... | computer science |
15,320 | One Billion Word Benchmark for Measuring Progress in Statistical
Language Modeling | cs.CL | We propose a new benchmark corpus to be used for measuring progress in
statistical language modeling. With almost one billion words of training data,
we hope this benchmark will be useful to quickly evaluate novel language
modeling techniques, and to compare their contribution when combined with other
advanced techniqu... | computer science |
15,321 | Semantic Types, Lexical Sorts and Classifiers | cs.CL | We propose a cognitively and linguistically motivated set of sorts for
lexical semantics in a compositional setting: the classifiers in languages that
do have such pronouns. These sorts are needed to include lexical considerations
in a semantical analyser such as Boxer or Grail. Indeed, all proposed lexical
extensions ... | computer science |
15,322 | Towards The Development of a Bishnupriya Manipuri Corpus | cs.CL | For any deep computational processing of language we need evidences, and one
such set of evidences is corpus. This paper describes the development of a
text-based corpus for the Bishnupriya Manipuri language. A Corpus is considered
as a building block for any language processing tasks. Due to the lack of
awareness like... | computer science |
15,323 | Implicit Sensitive Text Summarization based on Data Conveyed by
Connectives | cs.CL | So far and trying to reach human capabilities, research in automatic
summarization has been based on hypothesis that are both enabling and limiting.
Some of these limitations are: how to take into account and reflect (in the
generated summary) the implicit information conveyed in the text, the author
intention, the rea... | computer science |
15,324 | Deep Learning Embeddings for Discontinuous Linguistic Units | cs.CL | Deep learning embeddings have been successfully used for many natural
language processing problems. Embeddings are mostly computed for word forms
although a number of recent papers have extended this to other linguistic units
like morphemes and phrases. In this paper, we argue that learning embeddings
for discontinuous... | computer science |
15,325 | Distributional Models and Deep Learning Embeddings: Combining the Best
of Both Worlds | cs.CL | There are two main approaches to the distributed representation of words:
low-dimensional deep learning embeddings and high-dimensional distributional
models, in which each dimension corresponds to a context word. In this paper,
we combine these two approaches by learning embeddings based on
distributional-model vector... | computer science |
15,326 | Multilingual Distributed Representations without Word Alignment | cs.CL | Distributed representations of meaning are a natural way to encode covariance
relationships between words and phrases in NLP. By overcoming data sparsity
problems, as well as providing information about semantic relatedness which is
not available in discrete representations, distributed representations have
proven usef... | computer science |
15,327 | Quality Estimation of English-Hindi Outputs using Naive Bayes Classifier | cs.CL | In this paper we present an approach for estimating the quality of machine
translation system. There are various methods for estimating the quality of
output sentences, but in this paper we focus on Na\"ive Bayes classifier to
build model using features which are extracted from the input sentences. These
features are u... | computer science |
15,328 | Evaluation and Ranking of Machine Translated Output in Hindi Language
using Precision and Recall Oriented Metrics | cs.CL | Evaluation plays a crucial role in development of Machine translation
systems. In order to judge the quality of an existing MT system i.e. if the
translated output is of human translation quality or not, various automatic
metrics exist. We here present the implementation results of different metrics
when used on Hindi ... | computer science |
15,329 | Intégration des données d'un lexique syntaxique dans un analyseur
syntaxique probabiliste | cs.CL | This article reports the evaluation of the integration of data from a
syntactic-semantic lexicon, the Lexicon-Grammar of French, into a syntactic
parser. We show that by changing the set of labels for verbs and predicational
nouns, we can improve the performance on French of a non-lexicalized
probabilistic parser. | computer science |
15,330 | Extracting a bilingual semantic grammar from FrameNet-annotated corpora | cs.CL | We present the creation of an English-Swedish FrameNet-based grammar in
Grammatical Framework. The aim of this research is to make existing framenets
computationally accessible for multilingual natural language applications via a
common semantic grammar API, and to facilitate the porting of such grammar to
other langua... | computer science |
15,331 | A Convolutional Neural Network for Modelling Sentences | cs.CL | The ability to accurately represent sentences is central to language
understanding. We describe a convolutional architecture dubbed the Dynamic
Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of
sentences. The network uses Dynamic k-Max Pooling, a global pooling operation
over linear sequen... | computer science |
15,332 | Overview of Stemming Algorithms for Indian and Non-Indian Languages | cs.CL | Stemming is a pre-processing step in Text Mining applications as well as a
very common requirement of Natural Language processing functions. Stemming is
the process for reducing inflected words to their stem. The main purpose of
stemming is to reduce different grammatical forms / word forms of a word like
its noun, adj... | computer science |
15,333 | A Generalized Language Model as the Combination of Skipped n-grams and
Modified Kneser-Ney Smoothing | cs.CL | We introduce a novel approach for building language models based on a
systematic, recursive exploration of skip n-gram models which are interpolated
using modified Kneser-Ney smoothing. Our approach generalizes language models
as it contains the classical interpolation with lower order models as a special
case. In this... | computer science |
15,334 | Meta-evaluation of comparability metrics using parallel corpora | cs.CL | Metrics for measuring the comparability of corpora or texts need to be
developed and evaluated systematically. Applications based on a corpus, such as
training Statistical MT systems in specialised narrow domains, require finding
a reasonable balance between the size of the corpus and its consistency, with
controlled a... | computer science |
15,335 | Assessing the Quality of MT Systems for Hindi to English Translation | cs.CL | Evaluation plays a vital role in checking the quality of MT output. It is
done either manually or automatically. Manual evaluation is very time consuming
and subjective, hence use of automatic metrics is done most of the times. This
paper evaluates the translation quality of different MT Engines for
Hindi-English (Hind... | computer science |
15,336 | An Empirical Comparison of Parsing Methods for Stanford Dependencies | cs.CL | Stanford typed dependencies are a widely desired representation of natural
language sentences, but parsing is one of the major computational bottlenecks
in text analysis systems. In light of the evolving definition of the Stanford
dependencies and developments in statistical dependency parsing algorithms,
this paper re... | computer science |
15,337 | The First Parallel Multilingual Corpus of Persian: Toward a Persian
BLARK | cs.CL | In this article, we have introduced the first parallel corpus of Persian with
more than 10 other European languages. This article describes primary steps
toward preparing a Basic Language Resources Kit (BLARK) for Persian. Up to now,
we have proposed morphosyntactic specification of Persian based on
EAGLE/MULTEXT guide... | computer science |
15,338 | Multilingual Models for Compositional Distributed Semantics | cs.CL | We present a novel technique for learning semantic representations, which
extends the distributional hypothesis to multilingual data and joint-space
embeddings. Our models leverage parallel data and learn to strongly align the
embeddings of semantically equivalent sentences, while maintaining sufficient
distance betwee... | computer science |
15,339 | Radical-Enhanced Chinese Character Embedding | cs.CL | We present a method to leverage radical for learning Chinese character
embedding. Radical is a semantic and phonetic component of Chinese character.
It plays an important role as characters with the same radical usually have
similar semantic meaning and grammatical usage. However, existing Chinese
processing algorithms... | computer science |
15,340 | Challenges in Persian Electronic Text Analysis | cs.CL | Farsi, also known as Persian, is the official language of Iran and Tajikistan
and one of the two main languages spoken in Afghanistan. Farsi enjoys a unified
Arabic script as its writing system. In this paper we briefly introduce the
writing standards of Farsi and highlight problems one would face when analyzing
Farsi ... | computer science |
15,341 | The Frobenius anatomy of word meanings I: subject and object relative
pronouns | cs.CL | This paper develops a compositional vector-based semantics of subject and
object relative pronouns within a categorical framework. Frobenius algebras are
used to formalise the operations required to model the semantics of relative
pronouns, including passing information between the relative clause and the
modified noun... | computer science |
15,342 | Morphological Analysis of the Bishnupriya Manipuri Language using Finite
State Transducers | cs.CL | In this work we present a morphological analysis of Bishnupriya Manipuri
language, an Indo-Aryan language spoken in the north eastern India. As of now,
there is no computational work available for the language. Finite state
morphology is one of the successful approaches applied in a wide variety of
languages over the y... | computer science |
15,343 | Lexicon Infused Phrase Embeddings for Named Entity Resolution | cs.CL | Most state-of-the-art approaches for named-entity recognition (NER) use semi
supervised information in the form of word clusters and lexicons. Recently
neural network-based language models have been explored, as they as a byproduct
generate highly informative vector representations for words, known as word
embeddings. ... | computer science |
15,344 | Reconstructing Native Language Typology from Foreign Language Usage | cs.CL | 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 structura... | computer science |
15,345 | A Deep Architecture for Semantic Parsing | cs.CL | Many successful approaches to semantic parsing build on top of the syntactic
analysis of text, and make use of distributional representations or statistical
models to match parses to ontology-specific queries. This paper presents a
novel deep learning architecture which provides a semantic parsing system
through the un... | computer science |
15,346 | Les noms propres se traduisent-ils ? Étude d'un corpus multilingue | cs.CL | In this paper, we tackle the problem of the translation of proper names. We
introduce our hypothesis according to which proper names can be translated more
often than most people seem to think. Then, we describe the construction of a
parallel multilingual corpus used to illustrate our point. We eventually
evaluate both... | computer science |
15,347 | Inter-Rater Agreement Study on Readability Assessment in Bengali | cs.CL | An inter-rater agreement study is performed for readability assessment in
Bengali. A 1-7 rating scale was used to indicate different levels of
readability. We obtained moderate to fair agreement among seven independent
annotators on 30 text passages written by four eminent Bengali authors. As a by
product of our study,... | computer science |
15,348 | Assamese-English Bilingual Machine Translation | cs.CL | Machine translation is the process of translating text from one language to
another. In this paper, Statistical Machine Translation is done on Assamese and
English language by taking their respective parallel corpus. A statistical
phrase based translation toolkit Moses is used here. To develop the language
model and to... | computer science |
15,349 | Quality Estimation Of Machine Translation Outputs Through Stemming | cs.CL | Machine Translation is the challenging problem for Indian languages. Every
day we can see some machine translators being developed, but getting a high
quality automatic translation is still a very distant dream . The correct
translated sentence for Hindi language is rarely found. In this paper, we are
emphasizing on En... | computer science |
15,350 | A Survey of Named Entity Recognition in Assamese and other Indian
Languages | cs.CL | Named Entity Recognition is always important when dealing with major Natural
Language Processing tasks such as information extraction, question-answering,
machine translation, document summarization etc so in this paper we put forward
a survey of Named Entities in Indian Languages with particular reference to
Assamese.... | computer science |
15,351 | Hidden Markov Model Based Part of Speech Tagger for Sinhala Language | cs.CL | In this paper we present a fundamental lexical semantics of Sinhala language
and a Hidden Markov Model (HMM) based Part of Speech (POS) Tagger for Sinhala
language. In any Natural Language processing task, Part of Speech is a very
vital topic, which involves analysing of the construction, behaviour and the
dynamics of ... | computer science |
15,352 | Substitute Based SCODE Word Embeddings in Supervised NLP Tasks | cs.CL | We analyze a word embedding method in supervised tasks. It maps words on a
sphere such that words co-occurring in similar contexts lie closely. The
similarity of contexts is measured by the distribution of substitutes that can
fill them. We compared word embeddings, including more recent representations,
in Named Entit... | computer science |
15,353 | Two-pass Discourse Segmentation with Pairing and Global Features | cs.CL | Previous attempts at RST-style discourse segmentation typically adopt
features centered on a single token to predict whether to insert a boundary
before that token. In contrast, we develop a discourse segmenter utilizing a
set of pairing features, which are centered on a pair of adjacent tokens in the
sentence, by equa... | computer science |
15,354 | Empirical Evaluation of Tree distances for Parser Evaluation | cs.CL | In this empirical study, I compare various tree distance measures --
originally developed in computational biology for the purpose of tree
comparison -- for the purpose of parser evaluation. I will control for the
parser setting by comparing the automatically generated parse trees from the
state-of-the-art parser Charn... | computer science |
15,355 | An NLP Assistant for Clide | cs.CL | This report describes an NLP assistant for the collaborative development
environment Clide, that supports the development of NLP applications by
providing easy access to some common NLP data structures. The assistant
visualizes text fragments and their dependencies by displaying the semantic
graph of a sentence, the co... | computer science |
15,356 | A Study of Association Measures and their Combination for Arabic MWT
Extraction | cs.CL | Automatic Multi-Word Term (MWT) extraction is a very important issue to many
applications, such as information retrieval, question answering, and text
categorization. Although many methods have been used for MWT extraction in
English and other European languages, few studies have been applied to Arabic.
In this paper, ... | computer science |
15,357 | Word Sense Disambiguation using WSD specific Wordnet of Polysemy Words | cs.CL | This paper presents a new model of WordNet that is used to disambiguate the
correct sense of polysemy word based on the clue words. The related words for
each sense of a polysemy word as well as single sense word are referred to as
the clue words. The conventional WordNet organizes nouns, verbs, adjectives and
adverbs ... | computer science |
15,358 | Incorporating Semi-supervised Features into Discontinuous Easy-First
Constituent Parsing | cs.CL | This paper describes adaptations for EaFi, a parser for easy-first parsing of
discontinuous constituents, to adapt it to multiple languages as well as make
use of the unlabeled data that was provided as part of the SPMRL shared task
2014. | computer science |
15,359 | An Algorithm Based on Empirical Methods, for Text-to-Tuneful-Speech
Synthesis of Sanskrit Verse | cs.CL | The rendering of Sanskrit poetry from text to speech is a problem that has
not been solved before. One reason may be the complications in the language
itself. We present unique algorithms based on extensive empirical analysis, to
synthesize speech from a given text input of Sanskrit verses. Using a
pre-recorded audio u... | computer science |
15,360 | A Binary Schema and Computational Algorithms to Process Vowel-based
Euphonic Conjunctions for Word Searches | cs.CL | Comprehensively searching for words in Sanskrit E-text is a non-trivial
problem because words could change their forms in different contexts. One such
context is sandhi or euphonic conjunctions, which cause a word to change owing
to the presence of adjacent letters or words. The change wrought by these
possible conjunc... | computer science |
15,361 | Computational Algorithms Based on the Paninian System to Process
Euphonic Conjunctions for Word Searches | cs.CL | Searching for words in Sanskrit E-text is a problem that is accompanied by
complexities introduced by features of Sanskrit such as euphonic conjunctions
or sandhis. A word could occur in an E-text in a transformed form owing to the
operation of rules of sandhi. Simple word search would not yield these
transformed forms... | computer science |
15,362 | Lexical Normalisation of Twitter Data | cs.CL | Twitter with over 500 million users globally, generates over 100,000 tweets
per minute . The 140 character limit per tweet, perhaps unintentionally,
encourages users to use shorthand notations and to strip spellings to their
bare minimum "syllables" or elisions e.g. "srsly". The analysis of twitter
messages which typic... | computer science |
15,363 | Using crowdsourcing system for creating site-specific statistical
machine translation engine | cs.CL | A crowdsourcing translation approach is an effective tool for globalization
of site content, but it is also an important source of parallel linguistic
data. For the given site, processed with a crowdsourcing system, a
sentence-aligned corpus can be fetched, which covers a very narrow domain of
terminology and language ... | computer science |
15,364 | Performance of Stanford and Minipar Parser on Biomedical Texts | cs.CL | In this paper, the performance of two dependency parsers, namely Stanford and
Minipar, on biomedical texts has been reported. The performance of te parsers
to assignm dependencies between two biomedical concepts that are already proved
to be connected is not satisfying. Both Stanford and Minipar, being statistical
pars... | computer science |
15,365 | Generating Conceptual Metaphors from Proposition Stores | cs.CL | Contemporary research on computational processing of linguistic metaphors is
divided into two main branches: metaphor recognition and metaphor
interpretation. We take a different line of research and present an automated
method for generating conceptual metaphors from linguistic data. Given the
generated conceptual met... | computer science |
15,366 | CRF-based Named Entity Recognition @ICON 2013 | cs.CL | This paper describes performance of CRF based systems for Named Entity
Recognition (NER) in Indian language as a part of ICON 2013 shared task. In
this task we have considered a set of language independent features for all the
languages. Only for English a language specific feature, i.e. capitalization,
has been added.... | computer science |
15,367 | Improving the Performance of English-Tamil Statistical Machine
Translation System using Source-Side Pre-Processing | cs.CL | Machine Translation is one of the major oldest and the most active research
area in Natural Language Processing. Currently, Statistical Machine Translation
(SMT) dominates the Machine Translation research. Statistical Machine
Translation is an approach to Machine Translation which uses models to learn
translation patte... | computer science |
15,368 | LAF-Fabric: a data analysis tool for Linguistic Annotation Framework
with an application to the Hebrew Bible | cs.CL | The Linguistic Annotation Framework (LAF) provides a general, extensible
stand-off markup system for corpora. This paper discusses LAF-Fabric, a new
tool to analyse LAF resources in general with an extension to process the
Hebrew Bible in particular. We first walk through the history of the Hebrew
Bible as text databas... | computer science |
15,369 | A Morphological Analyzer for Japanese Nouns, Verbs and Adjectives | cs.CL | We present an open source morphological analyzer for Japanese nouns, verbs
and adjectives. The system builds upon the morphological analyzing capabilities
of MeCab to incorporate finer details of classification such as politeness,
tense, mood and voice attributes. We implemented our analyzer in the form of a
finite sta... | computer science |
15,370 | Not All Neural Embeddings are Born Equal | cs.CL | Neural language models learn word representations that capture rich
linguistic and conceptual information. Here we investigate the embeddings
learned by neural machine translation models. We show that translation-based
embeddings outperform those learned by cutting-edge monolingual models at
single-language tasks requi... | computer science |
15,371 | Corpora Preparation and Stopword List Generation for Arabic data in
Social Network | cs.CL | This paper proposes a methodology to prepare corpora in Arabic language from
online social network (OSN) and review site for Sentiment Analysis (SA) task.
The paper also proposes a methodology for generating a stopword list from the
prepared corpora. The aim of the paper is to investigate the effect of removing
stopwor... | computer science |
15,372 | Contrastive Unsupervised Word Alignment with Non-Local Features | cs.CL | Word alignment is an important natural language processing task that
indicates the correspondence between natural languages. Recently, unsupervised
learning of log-linear models for word alignment has received considerable
attention as it combines the merits of generative and discriminative
approaches. However, a major... | computer science |
15,373 | Language-based Examples in the Statistics Classroom | cs.CL | Statistics pedagogy values using a variety of examples. Thanks to text
resources on the Web, and since statistical packages have the ability to
analyze string data, it is now easy to use language-based examples in a
statistics class. Three such examples are discussed here. First, many types of
wordplay (e.g., crossword... | computer science |
15,374 | Hybrid approaches for automatic vowelization of Arabic texts | cs.CL | Hybrid approaches for automatic vowelization of Arabic texts are presented in
this article. The process is made up of two modules. In the first one, a
morphological analysis of the text words is performed using the open source
morphological Analyzer AlKhalil Morpho Sys. Outputs for each word analyzed out
of context, ar... | computer science |
15,375 | An Ontology for Comprehensive Tutoring of Euphonic Conjunctions of
Sanskrit Grammar | cs.CL | Euphonic conjunctions (sandhis) form a very important aspect of Sanskrit
morphology and phonology. The traditional and modern methods of studying about
euphonic conjunctions in Sanskrit follow different methodologies. The former
involves a rigorous study of the Paninian system embodied in Panini's
Ashtadhyayi, while th... | computer science |
15,376 | Learning Distributed Word Representations for Natural Logic Reasoning | cs.CL | Natural logic offers a powerful relational conception of meaning that is a
natural counterpart to distributed semantic representations, which have proven
valuable in a wide range of sophisticated language tasks. However, it remains
an open question whether it is possible to train distributed representations to
support ... | computer science |
15,377 | Dependent Types for Pragmatics | cs.CL | This paper proposes the use of dependent types for pragmatic phenomena such
as pronoun binding and presupposition resolution as a type-theoretic
alternative to formalisms such as Discourse Representation Theory and Dynamic
Semantics. | computer science |
15,378 | Arabic Language Text Classification Using Dependency Syntax-Based
Feature Selection | cs.CL | We study the performance of Arabic text classification combining various
techniques: (a) tfidf vs. dependency syntax, for feature selection and
weighting; (b) class association rules vs. support vector machines, for
classification. The Arabic text is used in two forms: rootified and lightly
stemmed. The results we obta... | computer science |
15,379 | A Modality Lexicon and its use in Automatic Tagging | cs.CL | This paper describes our resource-building results for an eight-week JHU
Human Language Technology Center of Excellence Summer Camp for Applied Language
Exploration (SCALE-2009) on Semantically-Informed Machine Translation.
Specifically, we describe the construction of a modality annotation scheme, a
modality lexicon, ... | computer science |
15,380 | The Visualization of Change in Word Meaning over Time using Temporal
Word Embeddings | cs.CL | We describe a visualization tool that can be used to view the change in
meaning of words over time. The tool makes use of existing (static) word
embedding datasets together with a timestamped $n$-gram corpus to create {\em
temporal} word embeddings. | computer science |
15,381 | Analysis of Named Entity Recognition and Linking for Tweets | cs.CL | Applying natural language processing for mining and intelligent information
access to tweets (a form of microblog) is a challenging, emerging research
area. Unlike carefully authored news text and other longer content, tweets pose
a number of new challenges, due to their short, noisy, context-dependent, and
dynamic nat... | computer science |
15,382 | Correcting Errors in Digital Lexicographic Resources Using a Dictionary
Manipulation Language | cs.CL | We describe a paradigm for combining manual and automatic error correction of
noisy structured lexicographic data. Modifications to the structure and
underlying text of the lexicographic data are expressed in a simple,
interpreted programming language. Dictionary Manipulation Language (DML)
commands identify nodes by u... | computer science |
15,383 | Experiments to Improve Named Entity Recognition on Turkish Tweets | cs.CL | Social media texts are significant information sources for several
application areas including trend analysis, event monitoring, and opinion
mining. Unfortunately, existing solutions for tasks such as named entity
recognition that perform well on formal texts usually perform poorly when
applied to social media texts. I... | computer science |
15,384 | On Detecting Noun-Adjective Agreement Errors in Bulgarian Language Using
GATE | cs.CL | In this article, we describe an approach for automatic detection of
noun-adjective agreement errors in Bulgarian texts by explaining the necessary
steps required to develop a simple Java-based language processing application.
For this purpose, we use the GATE language processing framework, which is
capable of analyzing... | computer science |
15,385 | Detecting Suicidal Ideation in Chinese Microblogs with Psychological
Lexicons | cs.CL | Suicide is among the leading causes of death in China. However, technical
approaches toward preventing suicide are challenging and remaining under
development. Recently, several actual suicidal cases were preceded by users who
posted microblogs with suicidal ideation to Sina Weibo, a Chinese social media
network akin t... | computer science |
15,386 | word2vec Parameter Learning Explained | cs.CL | The word2vec model and application by Mikolov et al. have attracted a great
amount of attention in recent two years. The vector representations of words
learned by word2vec models have been shown to carry semantic meanings and are
useful in various NLP tasks. As an increasing number of researchers would like
to experim... | computer science |
15,387 | Distributed Representations for Compositional Semantics | cs.CL | The mathematical representation of semantics is a key issue for Natural
Language Processing (NLP). A lot of research has been devoted to finding ways
of representing the semantics of individual words in vector spaces.
Distributional approaches --- meaning distributed representations that exploit
co-occurrence statistic... | computer science |
15,388 | A Text to Speech (TTS) System with English to Punjabi Conversion | cs.CL | The paper aims to show how an application can be developed that converts the
English language into the Punjabi Language, and the same application can
convert the Text to Speech(TTS) i.e. pronounce the text. This application can
be really beneficial for those with special needs. | computer science |
15,389 | Retrofitting Word Vectors to Semantic Lexicons | cs.CL | Vector space word representations are learned from distributional information
of words in large corpora. Although such statistics are semantically
informative, they disregard the valuable information that is contained in
semantic lexicons such as WordNet, FrameNet, and the Paraphrase Database. This
paper proposes a met... | computer science |
15,390 | Opinion mining of text documents written in Macedonian language | cs.CL | The ability to extract public opinion from web portals such as review sites,
social networks and blogs will enable companies and individuals to form a view,
an attitude and make decisions without having to do lengthy and costly
researches and surveys. In this paper machine learning techniques are used for
determining t... | computer science |
15,391 | Using graph transformation algorithms to generate natural language
equivalents of icons expressing medical concepts | cs.CL | A graphical language addresses the need to communicate medical information in
a synthetic way. Medical concepts are expressed by icons conveying fast visual
information about patients' current state or about the known effects of drugs.
In order to increase the visual language's acceptance and usability, a natural
langu... | computer science |
15,392 | Network Motifs Analysis of Croatian Literature | cs.CL | In this paper we analyse network motifs in the co-occurrence directed
networks constructed from five different texts (four books and one portal) in
the Croatian language. After preparing the data and network construction, we
perform the network motif analysis. We analyse the motif frequencies and
Z-scores in the five n... | computer science |
15,393 | Type-Driven Incremental Semantic Parsing with Polymorphism | cs.CL | Semantic parsing has made significant progress, but most current semantic
parsers are extremely slow (CKY-based) and rather primitive in representation.
We introduce three new techniques to tackle these problems. First, we design
the first linear-time incremental shift-reduce-style semantic parsing algorithm
which is m... | computer science |
15,394 | Pre-processing of Domain Ontology Graph Generation System in Punjabi | cs.CL | This paper describes pre-processing phase of ontology graph generation system
from Punjabi text documents of different domains. This research paper focuses
on pre-processing of Punjabi text documents. Pre-processing is structured
representation of the input text. Pre-processing of ontology graph generation
includes all... | computer science |
15,395 | Coarse-grained Cross-lingual Alignment of Comparable Texts with Topic
Models and Encyclopedic Knowledge | cs.CL | We present a method for coarse-grained cross-lingual alignment of comparable
texts: segments consisting of contiguous paragraphs that discuss the same theme
(e.g. history, economy) are aligned based on induced multilingual topics. The
method combines three ideas: a two-level LDA model that filters out words that
do not... | computer science |
15,396 | Using Sentence Plausibility to Learn the Semantics of Transitive Verbs | cs.CL | The functional approach to compositional distributional semantics considers
transitive verbs to be linear maps that transform the distributional vectors
representing nouns into a vector representing a sentence. We conduct an initial
investigation that uses a matrix consisting of the parameters of a logistic
regression ... | computer science |
15,397 | Tiered Clustering to Improve Lexical Entailment | cs.CL | Many tasks in Natural Language Processing involve recognizing lexical
entailment. Two different approaches to this problem have been proposed
recently that are quite different from each other. The first is an asymmetric
similarity measure designed to give high scores when the contexts of the
narrower term in the entail... | computer science |
15,398 | Mary Astell's words in A Serious Proposal to the Ladies (part I), a
lexicographic inquiry with NooJ | cs.CL | In the following article we elected to study with NooJ the lexis of a 17 th
century text, Mary Astell's seminal essay, A Serious Proposal to the Ladies,
part I, published in 1694. We first focused on the semantics to see how Astell
builds her vindication of the female sex, which words she uses to sensitise
women to the... | computer science |
15,399 | A perspective on the advancement of natural language processing tasks
via topological analysis of complex networks | cs.CL | Comment on "Approaching human language with complex networks" by Cong and Liu
(Physics of Life Reviews, Volume 11, Issue 4, December 2014, Pages 598-618). | computer science |
15,400 | Deep Learning for Answer Sentence Selection | cs.CL | Answer sentence selection is the task of identifying sentences that contain
the answer to a given question. This is an important problem in its own right
as well as in the larger context of open domain question answering. We propose
a novel approach to solving this task via means of distributed representations,
and lea... | computer science |
15,401 | Context-Dependent Fine-Grained Entity Type Tagging | cs.CL | Entity type tagging is the task of assigning category labels to each mention
of an entity in a document. While standard systems focus on a small set of
types, recent work (Ling and Weld, 2012) suggests that using a large
fine-grained label set can lead to dramatic improvements in downstream tasks.
In the absence of lab... | computer science |
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