Murat Saraclar

Also published as: Murat Saraçlar


2020

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Unsupervised Term Discovery for Continuous Sign Language
Korhan Polat | Murat Saraçlar
Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives

Most of the sign language recognition (SLR) systems rely on supervision for training and available annotated sign language resources are scarce due to the difficulties of manual labeling. Unsupervised discovery of lexical units would facilitate the annotation process and thus lead to better SLR systems. Inspired by the unsupervised spoken term discovery in speech processing field, we investigate whether a similar approach can be applied in sign language to discover repeating lexical units. We adapt an algorithm that is designed for spoken term discovery by using hand shape and pose features instead of speech features. The experiments are run on a large scale continuous sign corpus and the performance is evaluated using gloss level annotations. This work introduces a new task for sign language processing that has not been addressed before.

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Cross-Lingual Keyword Search for Sign Language
Nazif Can Tamer | Murat Saraçlar
Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives

Sign language research most often relies on exhaustively annotated and segmented data, which is scarce even for the most studied sign languages. However, parallel corpora consisting of sign language interpreting are rarely explored. By utilizing such data for the task of keyword search, this work aims to enable information retrieval from sign language with the queries from the translated written language. With the written language translations as labels, we train a weakly supervised keyword search model for sign language and further improve the retrieval performance with two context modeling strategies. In our experiments, we compare the gloss retrieval and cross language retrieval performance on RWTH-PHOENIX-Weather 2014T dataset.

2019

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Convolutional Neural Networks for Financial Text Regression
Neşat Dereli | Murat Saraclar
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Forecasting financial volatility of a publicly-traded company from its annual reports has been previously defined as a text regression problem. Recent studies use a manually labeled lexicon to filter the annual reports by keeping sentiment words only. In order to remove the lexicon dependency without decreasing the performance, we replace bag-of-words model word features by word embedding vectors. Using word vectors increases the number of parameters. Considering the increase in number of parameters and excessive lengths of annual reports, a convolutional neural network model is proposed and transfer learning is applied. Experimental results show that the convolutional neural network model provides more accurate volatility predictions than lexicon based models.

2017

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BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
Deger Ayata | Murat Saraclar | Arzucan Ozgur
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This paper describes our approach for SemEval-2017 Task 4: Sentiment Analysis in Twitter. We have participated in Subtask A: Message Polarity Classification subtask and developed two systems. The first system uses word embeddings for feature representation and Support Vector Machine, Random Forest and Naive Bayes algorithms for classification of Twitter messages into negative, neutral and positive polarity. The second system is based on Long Short Term Memory Recurrent Neural Networks and uses word indexes as sequence of inputs for feature representation.

2013

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Semi-Supervised Discriminative Language Modeling with Out-of-Domain Text Data
Arda Çelebi | Murat Saraçlar
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2011

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Bayesian Word Alignment for Statistical Machine Translation
Coşkun Mermer | Murat Saraçlar
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

2009

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A Stochastic Finite-State Morphological Parser for Turkish
Haşim Sak | Tunga Güngör | Murat Saraçlar
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers

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Score Distribution Based Term Specific Thresholding for Spoken Term Detection
Doğan Can | Murat Saraçlar
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers

2007

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Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
Mathias Creutz | Teemu Hirsimäki | Mikko Kurimo | Antti Puurula | Janne Pylkkönen | Vesa Siivola | Matti Varjokallio | Ebru Arisoy | Murat Saraçlar | Andreas Stolcke
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference

2006

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Unlimited vocabulary speech recognition for agglutinative languages
Mikko Kurimo | Antti Puurula | Ebru Arisoy | Vesa Siivola | Teemu Hirsimäki | Janne Pylkkönen | Tanel Alumäe | Murat Saraclar
Proceedings of the Human Language Technology Conference of the NAACL, Main Conference

2005

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Discriminative Syntactic Language Modeling for Speech Recognition
Michael Collins | Brian Roark | Murat Saraclar
Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL’05)

2004

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Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
Brian Roark | Murat Saraclar | Michael Collins | Mark Johnson
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)

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A System for Searching and Browsing Spoken Communications
Lee Begeja | Bernard Renger | Murat Saraclar | David Gibbon | Zhu Liu | Behzad Shahraray
Proceedings of the Workshop on Interdisciplinary Approaches to Speech Indexing and Retrieval at HLT-NAACL 2004

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General Indexation of Weighted Automata - Application to Spoken Utterance Retrieval
Cyril Allauzen | Mehryar Mohri | Murat Saraclar
Proceedings of the Workshop on Interdisciplinary Approaches to Speech Indexing and Retrieval at HLT-NAACL 2004

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Lattice-Based Search for Spoken Utterance Retrieval
Murat Saraclar | Richard Sproat
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004

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Language Model Adaptation with MAP Estimation and the Perceptron Algorithm
Michiel Bacchiani | Brian Roark | Murat Saraclar
Proceedings of HLT-NAACL 2004: Short Papers