[PDF] Top 20 Bootstrapping Entity Translation on Weakly Comparable Corpora

... Recently, similar relation mining in one language has been studied actively as a key part of automatic knowledge base construction. In automatically constructed knowledge bases, finding semanti- cally similar relations ... See full document

... rable corpora (Fung, 1995; Al-Onaizan and Knight, 2002; Koehn and Knight, 2002; Rapp, ...ing translation equivalents of all class of words, we focus specifically on transliteration equiva- lents of ... See full document

... The algorithm is agnostic of the type of the NE (Person, Organization, etc.). So, reporting the precision and recall for each NE type does not provide much insight into the performance of the method. Instead, we report ... See full document

... The monolingual terms and named entities were cross-lingually mapped using GIZA++ dictionaries and various string-similarity measures (Ştefănescu, 2012). Identifying corresponding named entities in different languages ... See full document

... We used a set of news articles from the New Indian Express (in English) and Dinamani (in Tamil) roughly covering similar events in English and Tamil respective, and covering a period of about 8 months, between January ... See full document

... Named Entity Extraction is very important to many cross language information processes such as machine translation (MT), cross-lingual information retrieval (CLIR), ...machine translation systems we ... See full document

... Named Entity recognition (NER) is an im- portant part of many natural language pro- cessing ...bilingual corpora in which it is weakly temporally aligned with a resource rich ...such corpora, ... See full document

... multilingual corpora is a fuzzy concept that has received alternative definitions without reaching an overall consensus (Rapp, 1995; Eagles Document Eag–Tcwg–Ctyp, 1996; Fung, 1998; Fung and Cheung, 2004; Wu and ... See full document

... plored using bitext extracted by OCD alone, with- out PLTM reestimation, to train a MT system. Both extracted bitext sets also contained many duplicate sentence pairs. In this set of experiments we also explored the ... See full document

... A major challenge inherent in discovering transliterated NEs is the fact that a single en- tity may be represented by multiple transliteration strings. One reason is language morphology. For example, in Russian, ... See full document

... As part of a more general project on multilin- gual named entity identification, we are interested in the problem of name transliteration across lan- guages that use different scripts. One particular is- sue is ... See full document

... Context-based projection methods for identifying the translation of terms in comparable corpora has attracted a lot of attention in the community, e.g. (Fung, 1998; Rapp, 1999). Surprisingly, none of ... See full document

... mostly comparable rather than parallel texts (paragraph alignment tasks); 3) Chinese texts are usually written in chronicle style, while its cor- responding Portuguese texts written in several ... See full document

... Following the three previous editions of the workshop which took place at LREC 2008 in Marrakech, at ACL-IJCNLP 2009 in Singapore, and at LREC 2010 in Malta, this year the workshop was co-located with ACL-HLT in Portland ... See full document

... Another specificity of the extracted parts has to be consid- ered. As previously stated, Europarl is made from minutes of debates, in which every deputy speaks her/his own lan- guage. Consequently, a continuous ... See full document

... Named entities play an important role in Cross- Lingual Information Retrieval (CLIR). Compa- rable documents generally share many named entities (NE) (Gupta and Bandyopadhyay, 2013), in this section, we make a Name model ... See full document

... Comparable corpora are composed of texts in different languages which are not translations but deal with the same subject matter and were produced in similar situations of ...Computer-Aided ... See full document

... The work presented in this paper relates to work pre- viously reported in (Yarowsky, 1995), where few tagged seeds are used to train a decision list, which is then em- ployed to tag new unlabeled instances. An efficient ... See full document

... Most prior work either makes use of only one or two monolingual signals or uses unsupervised meth- ods (like rank combination) to aggregate orthogonal signals (Schafer and Yarowsky, 2002; Klementiev and Roth, 2006). ... See full document

... Frequency is consider as efficient parameter for comparator ranking but the frequency-based ranking method [3] can suffer when an user input occurs rarely in collection of questions; for example,suppose all possible ... See full document