The English-Urdu parallel corpus3 consists of 4,325 sentences from the first three sections of the Penn Treebank and their Urdu translations annotated at the part-of-speech level.

Multilingual learning has been successful for other linguistic induction tasks such as lexicon acquisition, morphological segmentation, and part-of-speech tagging (Genzel, 2005; Snyder and Barzilay, 2008; Snyder et al., 2008; Snyder

lingual constituent, a sequence of part-of-speech tags is drawn from a language-specific distribution.

For each pair of coupled bilingual constituents, a pair of part-of-speech sequences are drawn jointly from a cross-lingual distribution.

We treat the part-of-speech tag sequences of parallel sentences, as well as their

Under this model, the part-of-speech sequence of each span in a sentence is generated either as a constituent yield — if it is dominated by a node in the tree —or otherwise as a distituent yield.

While this model is deficient —each observed subsequence of part-of-speech tags is generated many times over — its performance is far higher than that of unsupervised PCFGs.

They have become the workhorse in almost all subareas and components of NLP, including part-of-speech tagging, chunking, named entity recognition and parsing.

Part-of-speech tags were used in the top-ranked systems in CoNLL 2003, as well as in many follow up studies that used the data set (Ando and Zhang 2005; Suzuki and Isozaki 2008).

LDC refers to the clusters created with the smaller LDC corpus and +pos indicates the use of part-of-speech tags as features.

The Top CoNLL 2003 systems all employed gazetteers or other types of specialized resources (e.g., lists of words that tend to co-occur with certain named entity types) in addition to part-of-speech tags.

Part-of-speech tags were assigned by a maximum entropy tagger trained on the Penn Tree-bank, and then simplified into seven categories: nouns, verbs, adverbs, adjectives, numbers, foreign words, and everything else.

Part-of-speech tags are not included in the dependency path.

Hearst (1992) used a small number of regular expressions over words and part-of-speech tags to find examples of the hypernym relation.

such as Ravichandran and Hovy (2002) and Pantel and Pennacchiotti (2006) use the same formalism of learning regular expressions over words and part-of-speech tags to discover patterns indicating a variety of relations.

o the rightmost independent morpheme (a part-of-speech, an inflected form) and rightmost morpheme (a part-of-speech ) of a bunsetsu bi

0 whether or not the basic form or part-of-speech of the leftmost morpheme of the next bunsetsu of bi is one of the morphemes enumerated in Section 3.5.

Here, we focused on the basic form and part-of-speech of a morpheme.

0 Part-of-speech : noun-non_independent-general [0/40], noun-nai_adj ective_stem [0/40], noun-non_independent-adverbial [(0/27]

We evaluate the effectiveness of our method in three applications: text chunking, named entity recognition, and part-of-speech tagging.

The applications range from simple classification tasks such as text classification and history-based tagging (Ratnaparkhi, 1996) to more complex structured prediction tasks such as part-of-speech (POS) tagging (Lafferty et al., 2001), syntactic parsing (Clark and Curran, 2004) and semantic role labeling (Toutanova et al., 2005).

4.3 Part-Of-Speech Tagging