Articles

Conditional Random Fields (CRFs) have been applied with considerable success to a number of natural language processing tasks. However, these tasks have mostly involved very small label sets. When deployed on tasks with larger label sets, the requirements for computational resources mean that training becomes intractable. This paper describes a …...

Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation to counter the tendency of these models to overfit. The standard approach to regularising CRFs involves a prior distribution over the model parame- ters, typically requiring search over a hy- perparameter space. In this paper we ad- …...

In machine learning, whether one can build a more accurate classifier by using unlabeled data (semi-supervised learning) is an important issue. Although a num- ber of semi-supervised methods have been proposed, their effectiveness on NLP tasks is not always clear. This paper presents a novel semi-supervised method that em- ploys …...

AbstractSentiment analysis dealing with the identification and evaluation of opinions towards a topic, a company, or a product is an essential task within media analysis. It is used to study trends, determine the level of customer satisfaction, or warn immediately when unfavourable trends risk damaging the image of a company. …...

AbstractWe present an overview of MedSLT, a medium-vocabulary medical speech translation system, focussing on the representational issues that arise when translating temporal and causal concepts. Although flat key/value structures are strongly preferred as semantic representations in speech understanding systems, we argue that it is infeasible to handle the necessary range …...

We are conducting Example-Based Machine Translation re- search aiming at the improvement both of structural NLP and machine translation. This paper describes UTokyo system challenged IWSLT05 Japanese-English translation tasks. 1....

In this work we present the fundamentals of the IQMT frame- work for MT evaluation. IQMT offers a common work- bench on which existing evaluation metrics can be utilized. We suggest the IQ measure and test it on the Chinese-to- English data from the IWSLT 2004 Evaluation Campaign. We show …...

This paper provides a description of TALP-Ngram, the tuple-based statistical machine translation system devel- oped at the TALP Research Center of the UPC (Univer- sitat Polit`ecnica de Catalunya). Briefly, the system per- forms a log-linear combination of a translation model and additional feature functions. The translation model is es- timated …...

In this paper we investigate the rapid deployment of a two- way Afrikaans to English Speech-to-Speech Translation sys- tem. We discuss the approaches and amount of work in- volved to port a system to a new language pair, i.e. the steps required to rapidly adapt ASR, MT and TTS compo- …...

Nowadays, most of the statistical translation systems are based on phrases (i.e. groups of words). We describe a phrase-based system using a modified method for the phrase extraction which deals with larger phrases while keeping a reasonable number of phrases. Also, different alignments to extract phrases are allowed and additional …...

This paper describes Sehda’s S2MT (Syntactic Statistical Machine Translation) system submitted to the Korean-English track in the evaluation campaign of the IWSLT-05 workshop. The S2MT is a phrase-based statistical system trained on linguistically processed parallel data. 1....

We give an overview of the RWTH phrase-based statistical machine translation system that was used in the evaluation campaign of the International Workshop on Spoken Lan- guage Translation 2005. We use a two pass approach. In the first pass, we gen- erate a list of the N best translation candidates. …...

This paper reports an overview of the evaluation campaign results of the IWSLT 2005 workshop1. The BTEC corpus, which consists of typical travel domain phrases, was used. Data for the five language pairs Arabic/Chinese/Japanese/Korean to English and English to Chinese was prepared. To study how much the amount of the …...

This work summarizes a comparison between two ap- proaches to Statistical Machine Translation (SMT), namely Ngram-based and Phrase-based SMT. In both approaches, the translation process is based on bilingual units related by word-to-word alignments (pairs of source and target words), while the main differences are based on the extraction process …...

A Chinese sentence is represented as a sequence of charac- ters, and words are not separated from each other. In statisti- cal machine translation, the conventional approach is to seg- ment the Chinese character sequence into words during the pre-processing. The training and translation are performed afterwards. However, this method …...

This paper introduces our pattern-based machine translation system. Our system enables us to register translation patterns including more complicated sentence structures rather than just simple words and limited types of expressions. Having registered in the Japanese to English section of IWSLT05, we aimed to input as many expressions as possible …...

In this paper we propose a phrase-based translation system. In the system, we use phrase translation model instead of word-based model. An improved method of computing phrase translation probability is studied. We translate numeral phrases first by using a standard templates depository. We develop a phrase-based decoder that employs a …...

In this paper, we present a novel distortion model for phrase-based statistical machine translation. Unlike the pre- vious phrase distortion models whose role is to simply penal- ize nonmonotonic alignments[1, 2], the new model assigns the probability of relative position between two source lan- guage phrases aligned to the two …...

This paper reports the NTT statistical translation system par- ticipating in the evaluation campaign of IWSLT 2005. The NTT system is based on a phrase translation model and uti- lizes a large number of features with a log-linear model. We studied the various features recently developed in this re- search …...

The MIT-LL/AFRL MT system is a statistical phrase-based translation system that implements many modern SMT training and decoding techniques. Our system was designed with the long term goal of dealing with corrupted ASR input for Speech-to-Speech MT applications. This paper will discuss the architecture of the MIT-LL/AFRL MT system, and …...