Мақалалар

This paper describes the first steps towards a minimum-size phrase table implemen- tation to be used for phrase-based statis- tical machine translation. The focus lies on the size reduction of target language data in a phrase table. Rank Encoding (R- Enc), a novel method for the compression of word-aligned target …...

We report on an experiment to test the ef- ficacy of ‘controlled language’ authoring of technical documents in Japanese, with respect both to the readability of the Jap- anese source and the quality of the Eng- lish machine-translated output. Using four MT systems, we tested two sets of writing rules …...

This paper investigates the feasibility of using crowd-sourcing services for the hu- man assessment of machine translation quality of translations into non-English tar- get languages. Non-expert graders are hired through the CrowdFlower interface to Amazon’s Mechanical Turk in order to carry out a ranking-based MT evaluation of utterances taken from …...

This paper presents a statistical approach to adapt out-of-domain machine trans- lation systems to the medical domain through an unsupervised post-editing step. A statistical post-editing model is built on statistical machine translation (SMT) out- puts aligned with their translation refer- ences. Evaluations carried out to trans- late medical texts from …...

In this paper we describe a module (rule for- malism, rule compiler and rule processor) designed to provide flexible support for lex- ical selection in rule-based machine trans- lation. The motivation and implementation for the system is outlined and an efficient algorithm to compute the best coverage of lexical-selection rules …...

We describe here a Web inventory named WIT3 that offers access to a collection of transcribed and translated talks. The core of WIT3 is the TED Talks corpus, that basically redistributes the original content published by the TED Conference web- site (http://www.ted.com). Since 2007, the TED Conference, based in California, …...

This document describes a tool which ex- tracts term and lexicon entries from SMT phrase tables, without further reference to monolingual data. It applies filters to such tables, and builds lexicon entries from the ‘good’ candidates. Error rates of the tool can be as low as 7.3%, accumu- lated from …...

In this paper, we describe two approaches to extending syntactic constraints in the Hierarchical Phrase-Based (HPB) Statis- tical Machine Translation (SMT) model using Combinatory Categorial Grammar (CCG). These extensions target the limita- tions of previous syntax-augmented HPB SMT systems which limit the coverage of the syntactic constraints applied. We present …...

In Statistical Machine Translation, in- domain and out-of-domain training data are not always clearly delineated. This paper investigates how we can still use mixture-modeling techniques for domain adaptation in such cases. We apply un- supervised clustering methods to split the original training set, and then use mixture- modeling techniques to …...

The ACL 2012 Contributed Task is a com- munity effort aiming to provide the full ACL Anthology as a high-quality corpus with rich markup, following the TEI P5 guidelines— a new resource dubbed the ACL Anthology Corpus (AAC). The goal of the task is three- fold: (a) to provide a …...

The ACL Anthology was revamped in 2012 to its second major version, encompassing faceted navigation, social media use, as well as author- and reader-generated content and comments on published work as part of the re- vised frontend user interface. At the backend, the Anthology was updated to incorporate its publication …...

With rapidly increasing community, a plethora of conferences related to Natural Language Processing and easy access to their proceed- ings make it essential to check the integrity and novelty of the new submissions. This study aims to investigate the trends of text reuse in the ACL submissions, if any. We …...

Collocation is a well-known linguistic phe- nomenon which has a long history of research and use. In this study I employ collocation segmentation to extract terms from the large and complex ACL Anthology Reference Cor- pus, and also briefly research and describe the history of the ACL. The results of …...

The paper reports on a comparative study of two approaches to extracting definitional sen- tences from a corpus of scholarly discourse: one based on bootstrapping lexico-syntactic patterns and another based on deep analysis. Computational Linguistics was used as the tar- get domain and the ACL Anthology as the corpus. Definitional …...

Studies of gender balance in academic com- puter science are typically based on statistics on enrollment and graduation. Going beyond these coarse measures of gender participation, we conduct a fine-grained study of gender in the field of Natural Language Processing. We use topic models (Latent Dirichlet Allo- cation) to explore …...

We present a joint probabilistic model of who cites whom in computational linguistics, and also of the words they use to do the citing. The model reveals latent factions, or groups of in- dividuals whom we expect to collaborate more closely within their faction, cite within the fac- tion using …...

We develop a people-centered computational history of science that tracks authors over top- ics and apply it to the history of computa- tional linguistics. We present four findings in this paper. First, we identify the topical subfields authors work on by assigning auto- matically generated topics to each paper in …...

The ACL Anthology Network (AAN)1 is a comprehensive manually curated networked database of citations and collaborations in the field of Computational Linguistics. Each cita- tion edge in AAN is associated with one or more citing sentences. A citing sentence is one that appears in a scientific article and con- tains …...

Low interannotator agreement (IAA) is a well-known issue in manual semantic tag- ging (sense tagging). IAA correlates with the granularity of word senses and they both correlate with the amount of informa- tion they give as well as with its reliability. We compare different approaches to seman- tic tagging in …...

German case syncretism is often assumed to be the accidental by-product of historical development. This paper contradicts this claim and argues that the evolution of Ger- man case is driven by the need to optimize the cognitive effort and memory required for processing and interpretation. This hy- pothesis is supported …...